US9595129B2 - Canvas control for 3D data volume processing - Google Patents
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Abstract
A method is provided for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation. At least one two-dimensional (2D) canvas is generated. The 2D canvas corresponds to a plane in the 3D data set. The 2D canvas is shown in a first display window. One or more primitives are created on the 2D canvas. A volumetric region of the 3D volumetric data set corresponding to the one or more primitives is identified. The volumetric region is displayed in a 3D scene. The 3D scene is shown in a second display window.
Description
This application is the National Stage entry under 35 U.S.C. 371 of PCT/US2013/035841, that published as Intl. Patent Application No. 2013/169429 and was filed on 9 Apr. 2013, which claims the benefit of U.S. Provisional Patent Application No. 61/644,196 filed May 8, 2012 entitled METHOD OF USING CANVAS BASED CONTROL FOR 3D DATA VOLUME VISUALIZATION, INTERROGATION, ANALYSIS AND PROCESSING, each of which is incorporated by reference herein, in its entirety, for all purposes.
The present techniques relate to providing three-dimensional (3D) data and/or visualizations of data corresponding to physical objects and analysis thereof. In particular, an exemplary embodiment of the present techniques relates to providing visualizations, interrogation, analysis and processing of user-selected portions of a 3D data volume.
This section is intended to introduce various aspects of the art, which may be associated with embodiments of the disclosed techniques. This discussion is believed to assist in providing a framework to facilitate a better understanding of particular aspects of the disclosed techniques. Accordingly, it should be understood that this section is to be read in this light, and not necessarily as admissions of prior art.
Volumetric (3D) model construction and visualization have been widely accepted by numerous disciplines as a mechanism for analyzing, communicating, and comprehending complex 3D datasets. Examples of structures that can be subjected to volumetric analysis include the earth's subsurface, facility designs and the human body. The ability to easily interrogate and explore 3D models is one aspect of 3D visualization. Relevant models may contain both 3D volumetric objects and co-located 3D polygonal objects. One example of a volumetric object is a seismic volume, shown in FIG. 1 at reference number 100. Other examples of volumetric objects are seismic volumes, MRI scans, reservoir simulation models, and geologic models. Interpreted horizons, faults and well trajectories are examples of polygonal objects. In some cases, there is a need to view the volumetric and polygonal objects concurrently to understand their geometric and property relations. If every cell of the 3D volumetric object is rendered fully opaque, as is the case with seismic volume 100 in FIG. 1 , other objects in the scene may be occluded, and so it becomes advantageous at times to render such volumetric objects with transparency so that other objects may be seen through them. As an example, FIG. 2 depicts seismic volume 100 displayed with a degree of transparency. These 3D model interrogation and exploration tasks are useful during exploration, development and production phases in the oil and gas industry. Similar needs exist in other industries.
3D volumetric objects may be divided into two basic categories: those rendered using structured grids and those rendered using unstructured grids. Other types of grids may be defined on a spectrum between purely structured grids and purely unstructured grids. Both structured and unstructured grids may be rendered for a user to explore and understand the associated data. Known volume rendering techniques for structured grids render a full 3D volume with some degree of transparency, which enables the user to see through the volume. However, determining relations of 3D object properties is difficult, because it is hard to determine the exact location of semi-transparent data.
One way to view and interrogate a 3D volume is to render a cross-section through the 3D volume. The surface of the intersection between the cross-section and the 3-D volume may be rendered as a polygon with texture-mapped volume cell properties added thereto. For a structured grid rendered for a seismic or a medical scan, the user can create cross-sections along one of the primary directions: XY (inline or axial), XZ (cross-line or coronal) and YZ (time slice or sagittal). A traditional cross-section spans the extent of the object. In this case other objects such as horizons, wells or the like are partially or completely occluded and it is difficult to discern 3D relationships between objects. This effect is shown in FIG. 3 , which is a 3D graph 300 of a subsurface region. The graph 300, which may provide a visualization of 3D data for a structured grid or an unstructured grid, shows a first cross-section 302, a second cross-section 304, a third cross-section 306, and a fourth cross-section 308. Each of the four cross-sections is chosen to allow a user to see data in a physical property model that comprises data representative of a property of interest. However, a first horizon 310 and a second horizon 312, as well as data displayed on cross-sections 302, 304 and 306 which also may be of interest to a user, are mostly obscured or occluded by the visualizations of the four cross-sections.
A ribbon section is one attempt to make traditional cross-sectional visual representations more flexible. One way to create a ribbon section is to extrude a line or polyline vertically through the volume, creating a curtain or ribbon, upon which surface the volumetric data from the intersection of the ribbon with the volume is painted. This concept of ribbon sections is depicted in FIG. 4 , which is a 3D graph 400 of a subsurface region showing a ribbon section 402 defined by a polyline 404 comprising a first line segment 406 and a second line segment 408. Although ribbon section 402 is less intrusive than the cross-sections shown in FIG. 3 , portions of a first horizon 410 and a second horizon 412 are still occluded as long as the ribbon section is displayed.
Another attempt to make traditional cross-sectional visual representations more flexible is to implement a three-dimensional probe within the data volume. This is demonstrated in FIG. 5 , where a cube-shaped probe 500 is painted with volumetric data from the intersection of each of the probe's surfaces with the volume. Probe 500 may be moved around within the data volume. However, there are still instances in which horizons 502, 504 may be occluded.
All of the above methods rely on predefined geometric primitives like planes, combinations of planes, polylines, volumes, hexahedrons and others. These primitives are simple to understand, but they rarely match the geometry of a physical object. The above methods sometimes provide editing capabilities, like the ability to edit the polyline or change the orientation of the cross-section, so the user may better match the physical object. However, the editing tasks are time consuming and very often a perfect match cannot be obtained e.g. when a curved physical object is examined with a planar cross-section.
U.S. Patent Application Publication No. 2005/0231530 discloses a method for 3D object creation and editing based on 3D volumetric data via 2D drawing tools. In its operation, the user creates a 2D structure in the rendering space. These 2D structures, such as 2D points, 2D lines etc, are transformed/projected into 3D structure. This method relies on visualization of the 3D volumetric data as well as 2D interactions happening in the same rendering space. By doing this, the user's 2D operations are restricted by how the 3D data is visualized in rendering space. For example, their rendering of volumetric data uses planar slices (also known as cross-sections), and the 3D structures created by the 2D drawing tools will be collocated with these planar slices. To create a non planar 3D structure the user must perform digitization on numerous planar slices. For example, creating a cylinder requires drawing circles on a large number of 2D slices intersecting the cylinder. Another example involves creating a curved surface connecting two vertical wells. The method disclosed in the '530 Application requires a user to digitize lines on multiple time slices. What is needed is a method of rendering or displaying data using simple, intuitive editing commands while minimizing occlusion of data of interest.
In one aspect, a method is disclosed for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation. At least one two-dimensional (2D) canvas is generated. The 2D canvas corresponds to a plane in the 3D data set. The 2D canvas is shown in a first display window. One or more primitives are created on the 2D canvas. A volumetric region of the 3D volumetric data set corresponding to the one or more primitives is identified. The volumetric region is displayed in a 3D scene. The 3D scene is shown in a second display window.
In another aspect, a system is disclosed for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation. The system includes a processor and a tangible, machine-readable storage medium that stores machine-readable instructions for execution by the processor. The machine-readable instructions include: code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window; code for creating one or more primitives on the 2D canvas; code for identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives; and code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
In another aspect, a computer program product is provided having computer executable logic recorded on a tangible, machine readable medium. When executed the computer program product displays selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation. The computer program product includes: code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window; code for creating one or more primitives on the 2D canvas; code for identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives; and code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
In still another aspect, a method of producing hydrocarbons is disclosed. According to the method, selected portions of a three-dimensional (3D) volumetric data set representing a subsurface hydrocarbon reservoir are displayed. The displaying includes generating at least one two-dimensional (2D) canvas. The 2D canvas corresponds to a plane in the 3D data set. The 2D canvas is shown in a first display window. One or more primitives are created on the 2D canvas. A volumetric region of the 3D volumetric data set corresponding to the one or more primitives is identified. The volumetric region is displayed in a 3D scene, which is shown in a second display window. Hydrocarbons are produced from the subsurface hydrocarbon reservoir using the displayed volumetric region.
Advantages of the present techniques may become apparent upon reviewing the following detailed description and the accompanying drawings in which:
In the following detailed description section, specific embodiments are described in connection with preferred embodiments. However, to the extent that the following description is specific to a particular embodiment or a particular use, this is intended to be for exemplary purposes only and simply provides a description of the exemplary embodiments. Accordingly, the present techniques are not limited to embodiments described herein, but rather, it includes all alternatives, modifications, and equivalents falling within the spirit and scope of the appended claims.
At the outset, and for ease of reference, certain terms used in this application and their meanings as used in this context are set forth. To the extent a term used herein is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in at least one printed publication or issued patent.
As used herein, the term “3D seismic data volume” refers to a 3D data volume of discrete x-y-z or x-y-t data points, where x and y are not necessarily mutually orthogonal horizontal directions, z is the vertical direction, and t is two-way vertical seismic signal travel time. In subsurface models, these discrete data points are often represented by a set of contiguous hexahedrons known as cells or voxels. Each data point, cell, or voxel in a 3D seismic data volume typically has an assigned value (“data sample”) of a specific seismic data attribute such as seismic amplitude, acoustic impedance, or any other seismic data attribute that can be defined on a point-by-point basis.
As used herein, the term “cell” refers to a closed volume formed by a collection of faces, or a collection of nodes that implicitly define faces.
As used herein, the term “computer component” refers to a computer-related entity, either hardware, firmware, software, a combination thereof, or software in execution. For example, a computer component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. One or more computer components can reside within a process and/or thread of execution and a computer component can be localized on one computer and/or distributed between two or more computers.
As used herein, the terms “computer-readable medium” or “tangible machine-readable medium” refer to any tangible storage that participates in providing instructions to a processor for execution. Such a medium may take many forms, including but not limited to, non-volatile media, and volatile media. Non-volatile media includes, for example, NVRAM, or magnetic or optical disks. Volatile media includes dynamic memory, such as main memory. Computer-readable media may include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, magneto-optical medium, a CD-ROM, any other optical medium, a RAM, a PROM, and EPROM, a FLASH-EPROM, a solid state medium like a holographic memory, a memory card, or any other memory chip or cartridge, or any other physical medium from which a computer can read. When the computer-readable media is configured as a database, it is to be understood that the database may be any type of database, such as relational, hierarchical, object-oriented, and/or the like. Accordingly, exemplary embodiments of the present techniques may be considered to include a tangible storage medium or tangible distribution medium and prior art-recognized equivalents and successor media, in which the software implementations embodying the present techniques are stored.
As used herein, the term “cross-section” refers to a plane that intersects a structured grid or an unstructured grid.
As used herein, “displaying” includes a direct act that causes displaying, as well as any indirect act that facilitates displaying. Indirect acts include providing software to an end user, maintaining a website through which a user is enabled to affect a display, hyperlinking to such a website, or cooperating or partnering with an entity who performs such direct or indirect acts. Thus, a first party may operate alone or in cooperation with a third party vendor to enable the reference signal to be generated on a display device. The display device may include any device suitable for displaying the reference image, such as without limitation a CRT monitor, a LCD monitor, a plasma device, a flat panel device, or printer. The display device may include a device which has been calibrated through the use of any conventional software intended to be used in evaluating, correcting, and/or improving display results (e.g., a color monitor that has been adjusted using monitor calibration software). Rather than (or in addition to) displaying the reference image on a display device, a method, consistent with the invention, may include providing a reference image to a subject. “Providing a reference image” may include creating or distributing the reference image to the subject by physical, telephonic, or electronic delivery, providing access over a network to the reference, or creating or distributing software to the subject configured to run on the subject's workstation or computer including the reference image. In one example, the providing of the reference image could involve enabling the subject to obtain the reference image in hard copy form via a printer. For example, information, software, and/or instructions could be transmitted (e.g., electronically or physically via a data storage device or hard copy) and/or otherwise made available (e.g., via a network) in order to facilitate the subject using a printer to print a hard copy form of reference image. In such an example, the printer may be a printer which has been calibrated through the use of any conventional software intended to be used in evaluating, correcting, and/or improving printing results (e.g., a color printer that has been adjusted using color correction software).
As used herein, the term “horizon” refers to a geologic boundary in the subsurface structures that are deemed important by an interpreter. Marking these boundaries is done by interpreters when interpreting seismic volumes by drawing lines on a seismic section. Each line represents the presence of an interpreted surface at that location. An interpretation project typically generates several dozen and sometimes hundreds of horizons. Horizons may be rendered using different colors to stand out in a 3D visualization of data.
As used herein, “hydrocarbon” includes any hydrocarbon substance, including for example one or more of any of the following: oil (often referred to as petroleum), natural gas, gas condensate, tar and bitumen.
As used herein, “hydrocarbon management” or “managing hydrocarbons” includes hydrocarbon extraction, hydrocarbon production, hydrocarbon exploration, identifying potential hydrocarbon resources, identifying well locations, determining well injection and/or extraction rates, identifying reservoir connectivity, acquiring, disposing of and/or abandoning hydrocarbon resources, reviewing prior hydrocarbon management decisions, and any other hydrocarbon-related acts or activities.
As used herein, the term “I,J,K space” refers to an internal coordinate system for a geo-cellular model, having specified integer coordinates for (i,j,k) for consecutive cells. By convention, K represents a vertical coordinate. I,J,K space may be used as a sample space in which each coordinate represents a single sample value without reference to a physical characteristic.
As used herein, the term “3D plane” refers to a plane in three-dimensional (3D) space. This plane is typically defined by a point and a normal vector or by an equation A*x+B*y+C*z+D=0.
As used herein, the term “structured grid” refers to a matrix of volume data points known as voxels. Both the structured grid and the voxels have regular, defined geometries. Structured grids may be used with seismic data volumes.
As used herein, the term “unstructured grid” refers to a collection of cells with arbitrary geometries. Each cell can have the shape of a prism, hexahedron, or other more complex 3D geometries. When compared to structured grids, unstructured grids can better represent actual data since unstructured grids can contain finer (i.e. smaller) cells in one area with sudden changes in value of a property, and coarser (i.e. larger) cells elsewhere where the value of the property changes more slowly. Finer cells may also be used in areas having more accurate measurements or data certainty (for example, in the vicinity of a well). The flexibility to define cell geometry allows the unstructured grid to represent physical properties better than structured grids. In addition, unstructured grid cells can also better resemble the actual geometries of subsurface layers because cell shape is not restricted to a cube and may be given any orientation. However, all cell geometries need to be stored explicitly, thus an unstructured grid may require a substantial amount of memory. Unstructured grids may be employed in connection with reservoir simulation models. The term “unstructured grid” relates to how data is defined and does imply that the data itself has no structure. For example, one could represent a seismic model as an unstructured grid with explicitly defined nodes and cells. The result would necessarily be more memory intensive and inefficient to process and visualize than the corresponding structured definition.
As used herein, the term “voxel” refers to the smallest data point in a 3D volumetric object. Each voxel has unique set of coordinates and contains one or more data values that represent the properties at that location. Each voxel represents a discrete sampling of a 3D space, similar to the manner in which pixels represent sampling of the 2D space. The location of a voxel can be calculated by knowing the grid origin, unit vectors and the i,j,k indices of the voxel. As voxels are assumed to have similar geometries (such as cube-shaped), the details of the voxel geometries do not need to be stored, and thus structured grids require relatively little memory. However, dense sampling may be needed to capture small features, therefore increasing computer memory usage requirements.
Some portions of the detailed description which follows are presented in terms of procedures, steps, logic blocks, processing and other symbolic representations of operations on data bits within a computer memory. These descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. In the present application, a procedure, step, logic block, process, or the like, is conceived to be a self-consistent sequence of steps or instructions leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, although not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated in a computer system.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussions, it is appreciated that throughout the present application, discussions using the terms such as “generating”, “creating”, “identifying”, “displaying”, “defining”, “rendering”, “predicting”, or the like, refer to the action and processes of a computer system, or similar electronic computing device, that transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices. Example methods may be better appreciated with reference to flow diagrams.
While for purposes of simplicity of explanation, the illustrated methodologies are shown and described as a series of blocks, it is to be appreciated that the methodologies are not limited by the order of the blocks, as some blocks can occur in different orders and/or concurrently with other blocks from that shown and described. Moreover, less than all the illustrated blocks may be required to implement an example methodology. Blocks may be combined or separated into multiple components. Furthermore, additional and/or alternative methodologies can employ additional, not illustrated blocks. While the figures illustrate various serially occurring actions, it is to be appreciated that various actions could occur concurrently, substantially in parallel, and/or at substantially different points in time.
As set forth below, aspects of the disclosed techniques relate to an interactive visualization of selected portions of volumetric data sets. These volumetric data sets are visualized in a three-dimensional (3D) window. In addition to the 3D window, a user may interact using a separate two-dimensional (2D) canvas. This 2D canvas corresponds to a plane in the three-dimensional space represented in the 3D window. The user creates, edits or deletes 2D shapes on the 2D canvas. These shapes could be as simple as a circle, line segment or a hand drawn curve. Based on these 2D drawings a volume is created based on the 2D shape, and the volume is rendered in the 3D window. The portion of the volume intersecting the volumetric data set is identified or visualized in the 3D window.
In an aspect, the 2D canvas corresponds to the top or map view of the 3D window. Shapes drawn on the 2D canvas are extruded vertically as shown in FIG. 6A , where a circle 602 drawn on the 2D canvas 604 corresponds to a cylinder 606 in a 3D window 608 in FIG. 6B . The portion of the volumetric data set intersected by the outer surface 608 of cylinder 606 is visualized in the 3D window 610. The portion of the volumetric data set outside cylinder 606 is not visualized. Alternatively, the portion of the volumetric data set outside the cylinder is visualized as transparent or semi-transparent. The user may further explore the volumetric data set by interacting with the 2D canvas. For example, the user may add another 2D primitive to the 2D canvas 604, such as an ellipse 702 in FIG. 7A . As shown in FIG. 7B , the visualization of the volumetric data set is updated to reflect the change on the 2D canvas by displaying an elliptical prism 704 in 3D window 610.
Another type of interaction is the editing of the 2D shapes. An example is illustrated in FIG. 8A , where the area enclosed by ellipse 702 is increased from area 702 a to area 702 b on 2D canvas 604. As shown in FIG. 8B , the volume of the elliptical prism is likewise increased as shown by reference number 802, and a corresponding portion of the volumetric data set is rendered in 3D window 610.
According to methodologies and techniques disclosed herein, a primitive geometric element may be entered on the 2D canvas by freehand drawing. FIG. 9A illustrates the result of a user creating two small ellipses 902, 904 on 2D canvas 604 and connecting them with a freehand drawn curve 906. A user can select different types of brushes as well as drawing styles for the free hand drawing. The portion 908 of the volumetric data set corresponding to the 2D drawing is rendered in 3D window 610, as shown in FIG. 9B .
The user can select different color maps for the rendering of the volumetric data set. FIGS. 9B and 10 are rendered in the 3D window from the same drawing on the 2D canvas, shown in FIG. 9A . However, the portion of the volumetric data set corresponding to the 2D drawing is rendered using a different color map in each figure: FIG. 9B uses a fully opaque color map and FIG. 10 uses a semi-transparent color map, as shown at 1000.
The 2D canvas primitives can be either vector or raster primitives, similar to a generic 2D paint application. The raster primitives can be very easily converted into a 2D texture, but may have sampling or stair-stepping artefacts. A 2D vector primitive does not have these artefacts, and so a diagonal line in 2D would correspond to a perfectly diagonal line or plane in 3D.
The 2D canvas primitives may also be obtained from 3D geometric objects. For example, a well trajectory is a 3D path of a drilled well from a surface location to a target area of a reservoir. This path may be rendered in three-dimensional space and may also be converted or projected back onto the 2D canvas and a 2D primitive could be created. The user may then modify this 2D primitive and/or use the primitive as a reference for additional operations on the 2D canvas. FIGS. 14A and 14B illustrate this aspect of displaying subsurface data according to disclosed methodologies and techniques. A 2D canvas 1400 is shown in FIG. 14A , and the corresponding rendering in a 3D window 1402 is shown in FIG. 14B . In both Figures five well trajectories 1404, 1406, 1408, 1410, 1412 originate from a drill center 1414. These trajectories are rendered in 3D window 1402 as lines and are projected back into 2D canvas 1400, where they are also represented as lines. Seismic volume information corresponding to the vertical planes defined by each of the well trajectories is displayed only for a desired depth interval, as shown at 1416, 1418, 1420, 1422, and 1424. The desired depth interval may be limited by a horizon 1426. Seismic data for horizon depth 1426 is shown on 2D canvas as background contours or coloring. A user can control the display by controlling the properties of the lines in 2D. If the user desires to expand or widen the well traverse regions, the only needed operation is to alter the thickness of the lines on the 2D canvas. If a user desires to expand the amount of seismic data displayed in 3D window, the desired depth interval is modified.
These 2D primitives derived from 3D objects may serve as a location reference for additional operations on the 2D canvas. For example, a user studying possible connectivity between wells may draw a simple polyline 1428 connecting two wells 1404, 1406, as shown in FIG. 14A . Polyline 1428 may then be used to render a region of interest 1430 in 3D window 1402.
Various methods of extrusion may be used to create 3D objects from 2D primitives. A user may limit the amount of extrusion by either specifying an amount of extrusion or limiting the extrusion by providing a geometric limit e.g. surface, geologic horizon or fault. Alternatively, different types of operations may be applied to create the 3D portion of the volume. For example, the 2D primitive may be grown by a specific distance in 2 or 3 dimensions. As another example, the 2D primitive may be rotated in 3D to create the 3D portion. As yet another example, creating the 3D region/portion may involve performing Boolean operations on 3D regions created from multiple 2D canvases.
The computer system 1700 may also include computer components such as a random access memory (RAM) 1706, which may be SRAM, DRAM, SDRAM, or the like. The computer system 1700 may also include read-only memory (ROM) 1708, which may be PROM, EPROM, EEPROM, or the like. RAM 1706 and ROM 1708 hold user and system data and programs, as is known in the art. The computer system may also include one or more graphics processor units 1714, which may be used for various computational activities. The computer system 1700 may also include an input/output (I/O) adapter 1710, a communications adapter 1722, a user interface adapter 1724, and a display adapter 1718. The I/O adapter 1710, the user interface adapter 1724, and/or communications adapter 1722 may, in certain aspects and techniques, enable a user to interact with computer system 1700 in order to input information.
The I/O adapter 1710 preferably connects a storage device(s) 1712, such as one or more of hard drive, compact disc (CD) drive, floppy disk drive, tape drive, etc. to computer system 1700. The storage device(s) may be used when RAM 1706 is insufficient for the memory requirements associated with storing data for operations of embodiments of the present techniques. The data storage of the computer system 1700 may be used for storing information and/or other data used or generated as disclosed herein. The communications adapter 1722 may couple the computer system 1700 to a network (not shown), which may enable information to be input to and/or output from system 1700 via the network (for example, the Internet or other wide-area network, a local-area network, a public or private switched telephony network, a wireless network, any combination of the foregoing). User interface adapter 1724 couples user input devices, such as a keyboard 1728, a pointing device 1726, and the like, to computer system 1700. The display adapter 1718 is driven by the CPU 1702 to control, through a display driver 1716, the display on a display device 1720. Information and/or representations of one or more 2D canvases and one or more 3D windows may be displayed, according to disclosed aspects and methodologies.
The architecture of system 1700 may be varied as desired. For example, any suitable processor-based device may be used, including without limitation personal computers, laptop computers, computer workstations, and multi-processor servers. Moreover, embodiments may be implemented on application specific integrated circuits (ASICs) or very large scale integrated (VLSI) circuits. In fact, persons of ordinary skill in the art may use any number of suitable structures capable of executing logical operations according to the embodiments.
Aspects disclosed herein may be used to perform hydrocarbon management activities such as extracting hydrocarbons from a subsurface formation, region, or reservoir, which is indicated by reference number 2002 in FIG. 20 . A method 2100 of extracting hydrocarbons from subsurface reservoir 2002 is shown in FIG. 21 . At block 2102 inputs are received from a numerical model, geologic model, or flow simulation of the subsurface region, where the model or simulation has been run or improved using the methods and aspects disclosed herein. At block 2104 the presence and/or location of hydrocarbons in the subsurface region is predicted. At block 2106 hydrocarbon extraction is conducted to remove hydrocarbons from the subsurface region, which may be accomplished by drilling a well 2004 using oil drilling equipment 2006 (FIG. 20 ). Other hydrocarbon management activities may be performed according to known principles.
Illustrative, non-exclusive examples of methods and products according to the present disclosure are presented in the following non-enumerated paragraphs. It is within the scope of the present disclosure that an individual step of a method recited herein, including in the following enumerated paragraphs, may additionally or alternatively be referred to as a “step for” performing the recited action.
- A. A method for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, comprising:
generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window;
creating one or more primitives on the 2D canvas;
identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives; and
displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
- A1. The method according to paragraph A, wherein the volumetric data set is one of a 3D seismic, a structured reservoir model, an unstructured reservoir model, and a geologic model.
- A2. The method according to any of paragraphs A-A1, wherein the one or more primitives includes at least one of a line drawing, a point drawing, and a polygon drawing.
- A3. The method according to any of paragraphs A-A2, wherein creating one or more primitives includes at least one of a brush painting, a fill operation, and an erase operation.
- A4. The method according to any of paragraphs A-A3, wherein creating one or more primitives includes creating a primitive based on a 2D projection from an object in the 3D scene.
- A5. The method according to any of paragraphs A-A4, wherein each of the one or more primitives is a raster primitive.
- A6. The method according to any of paragraphs A-A5, wherein each of the one or more primitives is a vector primitive.
- A7. The method according to any of paragraphs A-A6, wherein the volumetric region is identified by creating a volume by performing an operation on the one or more primitives, and defining the volumetric region as an intersection of the created volume and the 3D volumetric data set.
- A8. The method according to paragraph A7, wherein the operation comprises one of extrude and grow.
- A9. The method according to paragraph A7, wherein the operation comprises extrude with a geometric limit.
- A10. The method according to paragraph A7, wherein the operation comprises a geometric transformation.
- A11. The method according to paragraph A10, wherein the transformation is one of a translation, a scale operation, or a rotation.
- A12. The method according to any of paragraphs A-A11, wherein the volumetric region is identified based on a Boolean operation of at least two precursor volumetric regions.
- A13. The method according to any of paragraphs A-A12, wherein the 2D canvas is a first 2D canvas, and further wherein the volumetric region is identified based on a Boolean operation on 3D regions identified by the first 2D canvas and a second 2D canvas.
- A14. The method according to any of paragraphs A-A13, wherein the volumetric region is identified based on ray casting operations on graphic processors.
- A15. The method according to any of paragraphs A-A14, wherein the volumetric region is identified based on virtual fragment operations on graphic processors.
- A16. The method according to any of paragraphs A-A15, wherein the 3D scene is rendered based on the volumetric region.
- A17. The method according to any of paragraphs A-A16, wherein the 3D scene is transparent where the volumetric region is transparent.
- A18. The method according to any of paragraphs A-A17, wherein the 3D scene is opaque where the volumetric region is opaque.
- A19. The method according to any of paragraphs A-A18, wherein the 3D scene is semi-transparent where the volumetric region is semi-transparent.
- A20. The method according to any of paragraphs A-A19, wherein a user can control transparency of the 3D scene.
- A21. The method according to any of paragraphs A-A20, further comprising:
predicting at least one of a presence, location, and amount of hydrocarbons in the subsurface formation; and
managing hydrocarbons in the subsurface formation based on said prediction.
- B. A system for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, the system comprising:
- a processor;
- a tangible, machine-readable storage medium that stores machine-readable instructions
- for execution by the processor, wherein the machine-readable instructions include code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window,
- code for creating one or more primitives on the 2D canvas,
- code for identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives, and
- code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
- C. A computer program product having computer executable logic recorded on a tangible, machine readable medium, the computer program product when executed displays selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, the computer program product comprising:
- code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window,
- code for creating one or more primitives on the 2D canvas,
- code for identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives, and
- code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
- D. A method of producing hydrocarbons, comprising:
- displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface hydrocarbon reservoir, wherein the displaying includes
- generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window, creating one or more primitives on the 2D canvas,
- identifying a volumetric region of the 3D volumetric data set corresponding to the one or more primitives, and
- displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window; and
- producing hydrocarbons from the subsurface hydrocarbon reservoir using the displayed volumetric region.
Claims (25)
1. A method for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, comprising:
generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window;
creating one or more 2D primitives on the 2D canvas;
creating a 3D volume from the one or more 2D primitives created on the 2D canvas;
forming a volumetric region, which is a subset of the 3D volumetric data set, from an intersection between the 3D volume created from the one or more 2D primitives and the 3D volumetric data set; and
displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
2. The method of claim 1 , wherein the volumetric data set is one of a 3D seismic, a structured reservoir model, an unstructured reservoir model, and a geologic model.
3. The method of claim 1 , wherein the one or more 2D primitives includes at least one of a line drawing, a point drawing, and a polygon drawing.
4. The method of claim 1 , wherein creating one or more 2D primitives includes at least one of a brush painting, a fill operation, and an erase operation.
5. The method of claim 1 , wherein creating one or more 2D primitives includes creating a primitive based on a 2D projection from an object in the 3D scene.
6. The method of claim 1 , wherein each of the one or more 2D primitives is a raster primitive.
7. The method of claim 1 , wherein each of the one or more 2D primitives is a vector primitive.
8. The method of claim 1 , wherein the 2D canvas is a top or map view of the second display window, the second display window is separate from and adjacent to the first display window, the second display window is a 3D window and the first display window is a 2D window.
9. The method of claim 1 , wherein the creating the 3D volume comprises performing an extrude operation or a grow operation.
10. The method of claim 9 , wherein the extrude operation is performed with a geometric limit.
11. The method of claim 1 , wherein the creating the 3D volume comprises performing a geometric transformation.
12. The method of claim 11 , wherein the transformation is one of a translation, a scale operation, or a rotation.
13. The method of claim 1 , wherein the volumetric region is identified based on a Boolean operation of at least two precursor volumetric regions.
14. The method of claim 1 , wherein the 2D canvas is a first 2D canvas, and further wherein the volumetric region is identified based on a Boolean operation on 3D regions identified by the first 2D canvas and a second 2D canvas.
15. The method of claim 1 , wherein the volumetric region is identified based on ray casting operations on graphic processors.
16. The method of claim 1 , wherein the volumetric region is identified based on virtual fragment operations on graphic processors.
17. The method of claim 1 , wherein the 3D scene is shown based on the volumetric region.
18. The method of claim 1 , wherein the 3D scene is transparent where the volumetric region is transparent.
19. The method of claim 1 , wherein the 3D scene is opaque where the volumetric region is opaque.
20. The method of claim 1 , wherein the 3D scene is semi-transparent where the volumetric region is semi-transparent.
21. The method of claim 1 , wherein a user can control transparency of the 3D scene.
22. The method of claim 1 , further comprising:
predicting at least one of a presence, location, and amount of hydrocarbons in the subsurface formation based on the volumetric region; and
managing hydrocarbons in the subsurface formation based on said prediction.
23. A system for displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, the system comprising:
a processor;
a tangible, machine-readable storage medium that stores machine-readable instructions for execution by the processor, wherein the machine-readable instructions include
code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window,
code for creating one or more 2D primitives on the 2D canvas,
code for creating a 3D volume from the one or more 2D primitives created on the 2D canvas,
code for forming a volumetric region, which is a subset of the 3D volumetric data set, from an intersection between the 3D volume created from the one or more 2D primitives and the 3D volumetric data set, and
code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
24. A computer program product having computer executable logic recorded on a tangible, machine readable non-transitory medium, the computer program product when executed displays selected portions of a three-dimensional (3D) volumetric data set representing a subsurface formation, the computer program product comprising:
code for generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window,
code for creating one or more 2D primitives on the 2D canvas,
code for creating a 3D volume from the one or more 2D primitives created on the 2D canvas,
code for forming a volumetric region, which is a subset of the 3D volumetric data set, from an intersection between the 3D volume created from the one or more 2D primitives and the 3D volumetric data set, and
code for displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window.
25. A method of producing hydrocarbons, comprising:
displaying selected portions of a three-dimensional (3D) volumetric data set representing a subsurface hydrocarbon reservoir, wherein the displaying includes
generating at least one two-dimensional (2D) canvas, the 2D canvas corresponding to a plane in the 3D data set, the 2D canvas being shown in a first display window,
creating one or more 2D primitives on the 2D canvas,
creating a 3D volume from the one or more 2D primitives created on the 2D canvas,
forming a volumetric region, which is a subset of the 3D volumetric data set, from an intersection between the 3D volume created from the one or more 2D primitives and the 3D volumetric data set, and
displaying the volumetric region in a 3D scene, the 3D scene being shown in a second display window; and
producing hydrocarbons from the subsurface hydrocarbon reservoir using the displayed volumetric region.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170358130A1 (en) * | 2014-11-05 | 2017-12-14 | Shell Oil Company | Systems and methods for multi-dimensional geophysical data visualization |
US10614618B2 (en) | 2014-11-05 | 2020-04-07 | Shell Oil Company | Method for multi-dimensional geophysical data visualization |
US10808517B2 (en) | 2018-12-17 | 2020-10-20 | Baker Hughes Holdings Llc | Earth-boring systems and methods for controlling earth-boring systems |
US11346215B2 (en) | 2018-01-23 | 2022-05-31 | Baker Hughes Holdings Llc | Methods of evaluating drilling performance, methods of improving drilling performance, and related systems for drilling using such methods |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009137176A2 (en) | 2008-05-05 | 2009-11-12 | Exxonmobile Upstream Research Company | Systems and methods for connectivity analysis using functional obejects |
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US10895966B2 (en) | 2017-06-30 | 2021-01-19 | Microsoft Technology Licensing, Llc | Selection using a multi-device mixed interactivity system |
Citations (186)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5468088A (en) | 1993-12-30 | 1995-11-21 | Cornell Research Foundation, Inc. | Feedback control of groundwater remediation |
US5671136A (en) | 1995-12-11 | 1997-09-23 | Willhoit, Jr.; Louis E. | Process for seismic imaging measurement and evaluation of three-dimensional subterranean common-impedance objects |
US5708764A (en) | 1995-03-24 | 1998-01-13 | International Business Machines Corporation | Hotlinks between an annotation window and graphics window for interactive 3D graphics |
US5992519A (en) | 1997-09-29 | 1999-11-30 | Schlumberger Technology Corporation | Real time monitoring and control of downhole reservoirs |
US6035255A (en) | 1997-12-01 | 2000-03-07 | Schlumberger Technology Corporation | Article of manufacturing for creating, testing, and modifying geological subsurface models |
WO2000014574A1 (en) | 1998-09-04 | 2000-03-16 | Norsk Hydro Asa | Method for visualization and analysis of volume data |
US6044328A (en) | 1997-12-01 | 2000-03-28 | Schlumberger Technology Corporation | Method for creating, testing, and modifying geological subsurface models |
US6070125A (en) | 1997-12-01 | 2000-05-30 | Schlumberger Technology Corporation | Apparatus for creating, testing, and modifying geological subsurface models |
US6128577A (en) | 1996-12-19 | 2000-10-03 | Schlumberger Technology Corporation | Modeling geological structures and properties |
US6191787B1 (en) | 1998-02-10 | 2001-02-20 | Schlumberger Technology Corporation | Interactively constructing, editing, rendering and manipulating geoscience models |
US6219061B1 (en) | 1997-08-01 | 2001-04-17 | Terarecon, Inc. | Method for rendering mini blocks of a volume data set |
US6236994B1 (en) | 1997-10-21 | 2001-05-22 | Xerox Corporation | Method and apparatus for the integration of information and knowledge |
US6353677B1 (en) | 1998-12-22 | 2002-03-05 | Mitsubishi Electric Research Laboratories, Inc. | Rendering objects having multiple volumes and embedded geometries using minimal depth information |
US6373489B1 (en) | 1999-01-12 | 2002-04-16 | Schlumberger Technology Corporation | Scalable visualization for interactive geometry modeling |
US6388947B1 (en) | 1998-09-14 | 2002-05-14 | Tomoseis, Inc. | Multi-crosswell profile 3D imaging and method |
US20020177955A1 (en) | 2000-09-28 | 2002-11-28 | Younes Jalali | Completions architecture |
US6490528B2 (en) | 2000-04-17 | 2002-12-03 | Exxonmobil Upstream Research Company | Method for imaging discontinuites in seismic data |
WO2003003053A1 (en) | 2001-06-20 | 2003-01-09 | Exxonmobil Upstream Research Company | Method for performing object-based connectivity analysis in 3-d seismic data volumes |
US6516274B2 (en) | 2000-06-30 | 2003-02-04 | Exxonmobil Upstream Research Company | Method for imaging discontinuities in seismic data using dip-steering |
US6519568B1 (en) | 1999-06-15 | 2003-02-11 | Schlumberger Technology Corporation | System and method for electronic data delivery |
US6549879B1 (en) | 1999-09-21 | 2003-04-15 | Mobil Oil Corporation | Determining optimal well locations from a 3D reservoir model |
US6549854B1 (en) | 1999-02-12 | 2003-04-15 | Schlumberger Technology Corporation | Uncertainty constrained subsurface modeling |
WO2003078794A1 (en) | 2002-03-20 | 2003-09-25 | Institut Francais Du Petrole | Method of modelling the production of hydrocarbons by a subsurface deposit which are subject to depletion |
US6643656B2 (en) | 1991-07-31 | 2003-11-04 | Richard Esty Peterson | Computerized information retrieval system |
US6664961B2 (en) | 2000-12-20 | 2003-12-16 | Rutgers, The State University Of Nj | Resample and composite engine for real-time volume rendering |
US20040012670A1 (en) | 2000-10-04 | 2004-01-22 | Yun Zhang | Combined colour 2d/3d imaging |
US6690820B2 (en) | 2001-01-31 | 2004-02-10 | Magic Earth, Inc. | System and method for analyzing and imaging and enhanced three-dimensional volume data set using one or more attributes |
US6694264B2 (en) | 2001-12-19 | 2004-02-17 | Earth Science Associates, Inc. | Method and system for creating irregular three-dimensional polygonal volume models in a three-dimensional geographic information system |
US6697063B1 (en) | 1997-01-03 | 2004-02-24 | Nvidia U.S. Investment Company | Rendering pipeline |
US6757613B2 (en) | 2001-12-20 | 2004-06-29 | Schlumberger Technology Corporation | Graphical method for designing the trajectory of a well bore |
US6765570B1 (en) | 1998-07-21 | 2004-07-20 | Magic Earth, Inc. | System and method for analyzing and imaging three-dimensional volume data sets using a three-dimensional sampling probe |
US6766254B1 (en) | 1999-10-01 | 2004-07-20 | Schlumberger Technology Corporation | Method for updating an earth model using measurements gathered during borehole construction |
US6772066B2 (en) | 2002-06-17 | 2004-08-03 | Schlumberger Technology Corporation | Interactive rock stability display |
US20040210395A1 (en) | 2003-03-24 | 2004-10-21 | Exxonmobil Upstream Research Company | Method for multi-region data processing and visualization |
US20040207652A1 (en) | 2003-04-16 | 2004-10-21 | Massachusetts Institute Of Technology | Methods and apparatus for visualizing volumetric data using deformable physical object |
US6823266B2 (en) | 2001-06-20 | 2004-11-23 | Exxonmobil Upstream Research Company | Method for performing object-based connectivity analysis in 3-D seismic data volumes |
US6826483B1 (en) | 1999-10-13 | 2004-11-30 | The Trustees Of Columbia University In The City Of New York | Petroleum reservoir simulation and characterization system and method |
US6829570B1 (en) | 1999-11-18 | 2004-12-07 | Schlumberger Technology Corporation | Oilfield analysis systems and methods |
US6834732B2 (en) | 1999-12-08 | 2004-12-28 | Den Norskestats Oljeselskap A.S. | Method of assessing positional uncertainty in drilling a well |
EP1230566B1 (en) | 1999-11-18 | 2005-02-02 | Schlumberger Limited | Oilfield analysis systems and methods |
EP1036341B1 (en) | 1997-12-01 | 2005-02-16 | Schlumberger Limited | Method and apparatus for creating, testing, and modifying geological subsurface models |
WO2005020044A9 (en) | 2003-08-26 | 2005-05-06 | Univ Columbia | Innervated stochastic controller for real time business decision-making support |
US20050119959A1 (en) | 2001-12-12 | 2005-06-02 | Eder Jeffrey S. | Project optimization system |
US6912467B2 (en) | 2002-10-08 | 2005-06-28 | Exxonmobil Upstream Research Company | Method for estimation of size and analysis of connectivity of bodies in 2- and 3-dimensional data |
US6912468B2 (en) | 2003-08-14 | 2005-06-28 | Westerngeco, L.L.C. | Method and apparatus for contemporaneous utilization of a higher order probe in pre-stack and post-stack seismic domains |
US20050171700A1 (en) | 2004-01-30 | 2005-08-04 | Chroma Energy, Inc. | Device and system for calculating 3D seismic classification features and process for geoprospecting material seams |
US6940507B2 (en) | 2000-12-18 | 2005-09-06 | Dmitriy G. Repin | Method and apparatus for visualization of 3D voxel data using lit opacity volumes with shading |
US6968909B2 (en) | 2002-03-06 | 2005-11-29 | Schlumberger Technology Corporation | Realtime control of a drilling system using the output from combination of an earth model and a drilling process model |
US6980939B2 (en) | 2001-06-18 | 2005-12-27 | Ford Motor Company | Method and system for optimizing the design of a mechanical system |
US6980940B1 (en) | 2000-02-22 | 2005-12-27 | Schlumberger Technology Corp. | Intergrated reservoir optimization |
US7003439B2 (en) | 2001-01-30 | 2006-02-21 | Schlumberger Technology Corporation | Interactive method for real-time displaying, querying and forecasting drilling event and hazard information |
US7006085B1 (en) | 2000-10-30 | 2006-02-28 | Magic Earth, Inc. | System and method for analyzing and imaging three-dimensional volume data sets |
US7027925B2 (en) | 2004-04-01 | 2006-04-11 | Schlumberger Technology Corporation | Adaptive borehole assembly visualization in a three-dimensional scene |
US7031842B1 (en) | 2003-02-26 | 2006-04-18 | 3Dgeo Development, Inc. | Systems and methods for collaboratively viewing and editing seismic data |
US7050953B2 (en) | 2002-05-22 | 2006-05-23 | Bigwood Technology Incorporated | Dynamical methods for solving large-scale discrete and continuous optimization problems |
WO2006029121A3 (en) | 2004-09-07 | 2006-06-15 | Landmark Graphics Corp | Method, systems, and computer readable media for optimizing the correlation of well log data using dynamic programing |
US7079953B2 (en) | 2004-08-20 | 2006-07-18 | Chevron U.S.A. Inc. | Method for creating facies probability cubes based upon geologic interpretation |
WO2006065915A3 (en) | 2004-12-14 | 2006-08-03 | Schlumberger Services Petrol | Geometrical optimization of multi-well trajectories |
US7096172B2 (en) | 2003-01-31 | 2006-08-22 | Landmark Graphics Corporation, A Division Of Halliburton Energy Services, Inc. | System and method for automated reservoir targeting |
US20060224423A1 (en) | 2005-04-01 | 2006-10-05 | Oracle International Corporation | Transportation planning with parallel optimization |
US20060247903A1 (en) | 2005-04-29 | 2006-11-02 | Gary Schottle | Automated system for identifying optimal re-drilling trajectories |
US7136064B2 (en) | 2001-05-23 | 2006-11-14 | Vital Images, Inc. | Occlusion culling for object-order volume rendering |
US20060265508A1 (en) | 2005-05-02 | 2006-11-23 | Angel Franklin J | System for administering a multiplicity of namespaces containing state information and services |
US7181380B2 (en) | 2002-12-20 | 2007-02-20 | Geomechanics International, Inc. | System and process for optimal selection of hydrocarbon well completion type and design |
US7203342B2 (en) | 2001-03-07 | 2007-04-10 | Schlumberger Technology Corporation | Image feature extraction |
US7248256B2 (en) | 2002-05-07 | 2007-07-24 | Hitachi, Ltd. | CAD data evaluation method and evaluation apparatus |
US7272973B2 (en) | 2005-10-07 | 2007-09-25 | Halliburton Energy Services, Inc. | Methods and systems for determining reservoir properties of subterranean formations |
US7281213B2 (en) | 2003-07-21 | 2007-10-09 | Landmark Graphics Corporation | System and method for network transmission of graphical data through a distributed application |
US7283941B2 (en) | 2001-11-13 | 2007-10-16 | Swanson Consulting Services, Inc. | Computer system and method for modeling fluid depletion |
WO2007100703A3 (en) | 2006-02-27 | 2007-11-08 | Schlumberger Ca Ltd | Well planning system and method |
US20070266082A1 (en) | 2006-05-10 | 2007-11-15 | Mcconnell Jane E | Methods, systems, and computer-readable media for displaying high resolution content related to the exploration and production of geologic resources in a thin client computer network |
WO2007076044A3 (en) | 2005-12-22 | 2007-12-27 | Chevron Usa Inc | Method, system and program storage device for reservoir simulation utilizing heavy oil solution gas drive |
US7314588B2 (en) | 2003-06-24 | 2008-01-01 | Advanced Cardiovascular Systems, Inc. | Balloon catheter having a balloon with a thickened wall portion |
US7330791B2 (en) | 2002-10-18 | 2008-02-12 | Exxonmobil Upstream Research Co. | Method for rapid fault interpretation of fault surfaces generated to fit three-dimensional seismic discontinuity data |
US7337067B2 (en) | 2000-09-08 | 2008-02-26 | Landmark Graphics Corporation | System and method for attaching drilling information to three-dimensional visualizations of earth models |
US7359845B2 (en) | 2004-11-12 | 2008-04-15 | Baker Hughes Incorporated | Method and system for predictive stratigraphy images |
US20080088621A1 (en) | 2006-10-11 | 2008-04-17 | Jean-Jacques Grimaud | Follower method for three dimensional images |
US7366616B2 (en) | 2006-01-13 | 2008-04-29 | Schlumberger Technology Corporation | Computer-based method for while-drilling modeling and visualization of layered subterranean earth formations |
US7373251B2 (en) | 2004-12-22 | 2008-05-13 | Marathon Oil Company | Method for predicting quantitative values of a rock or fluid property in a reservoir using seismic data |
US20080144903A1 (en) | 2006-10-25 | 2008-06-19 | Bai Wang | Real-time hardware accelerated contour generation based on VOI mask |
US20080165186A1 (en) | 2007-01-05 | 2008-07-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and methods for visualizing multiple volumetric data sets in real time |
US20080165185A1 (en) | 2007-01-05 | 2008-07-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and methods for selectively imaging objects in a display of multiple three-dimensional data-objects |
US7412363B2 (en) | 2001-04-18 | 2008-08-12 | Landmark Graphics Corporation | Volume body renderer |
US20080243749A1 (en) | 2007-03-29 | 2008-10-02 | Schlumberger Technology Corporation | System and method for multiple volume segmentation |
US7437358B2 (en) | 2004-06-25 | 2008-10-14 | Apple Inc. | Methods and systems for managing data |
US7451066B2 (en) | 1998-05-04 | 2008-11-11 | Edwards David A | Near wellbore modeling method and apparatus |
US20080294393A1 (en) | 2007-05-24 | 2008-11-27 | Laake Andreas W | Near Surface Layer Modeling |
US20080306803A1 (en) | 2007-06-05 | 2008-12-11 | Schlumberger Technology Corporation | System and method for performing oilfield production operations |
US20090027385A1 (en) | 2007-07-27 | 2009-01-29 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods for Imaging a Volume-of-Interest |
US20090027380A1 (en) | 2007-07-23 | 2009-01-29 | Vivek Rajan | 3-D visualization |
US20090037114A1 (en) | 2007-07-30 | 2009-02-05 | Chengbin Peng | 4d+ prestack seismic data structure, and methods and apparatus for processing 4d+ prestack seismic data |
US20090043507A1 (en) | 2007-08-01 | 2009-02-12 | Austin Geomodeling, Inc. | Method and system for dynamic, three-dimensional geological interpretation and modeling |
US20090040224A1 (en) | 2007-08-06 | 2009-02-12 | The University Of Tokyo | Three-dimensional shape conversion system, three-dimensional shape conversion method, and program for conversion of three-dimensional shape |
WO2009032416A1 (en) | 2007-09-07 | 2009-03-12 | Exxonmobill Upstream Research Company | Well performance modeling in a collaborative well planning environment |
WO2009039422A1 (en) | 2007-09-21 | 2009-03-26 | Headwave, Inc. | Seismic data processing and visualization |
US7512543B2 (en) | 2002-05-29 | 2009-03-31 | Schlumberger Technology Corporation | Tools for decision-making in reservoir risk management |
US20090089028A1 (en) | 2007-09-29 | 2009-04-02 | Schlumerger Technology Corporation | System and method for performing oilfield operations |
US20090122061A1 (en) | 2007-11-14 | 2009-05-14 | Terraspark Geosciences, L.P. | Seismic data processing |
US20090125362A1 (en) | 2007-11-10 | 2009-05-14 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods For Workflow Automation, Adaptation and Integration |
US7539625B2 (en) | 2004-03-17 | 2009-05-26 | Schlumberger Technology Corporation | Method and apparatus and program storage device including an integrated well planning workflow control system with process dependencies |
US7546884B2 (en) | 2004-03-17 | 2009-06-16 | Schlumberger Technology Corporation | Method and apparatus and program storage device adapted for automatic drill string design based on wellbore geometry and trajectory requirements |
US7548873B2 (en) | 2004-03-17 | 2009-06-16 | Schlumberger Technology Corporation | Method system and program storage device for automatically calculating and displaying time and cost data in a well planning system using a Monte Carlo simulation software |
US20090157367A1 (en) | 2007-12-14 | 2009-06-18 | Westerngeco, L.L.C. | Optimizing Drilling Operations Using Petrotechnical Data |
WO2009075946A1 (en) | 2007-12-13 | 2009-06-18 | Exxonmobil Upstream Research Company | Iterative reservior surveillance |
US20090182541A1 (en) | 2008-01-15 | 2009-07-16 | Schlumberger Technology Corporation | Dynamic reservoir engineering |
US7565243B2 (en) | 2005-05-26 | 2009-07-21 | Exxonmobil Upstream Research Company | Rapid method for reservoir connectivity analysis using a fast marching method |
US20090198447A1 (en) | 2008-02-06 | 2009-08-06 | Emmanuel Legendre | System and method for displaying data associated with subsurface reservoirs |
US7576740B2 (en) | 2003-03-06 | 2009-08-18 | Fraunhofer-Institut für Bildgestützte Medizin Mevis | Method of volume visualization |
US20090205819A1 (en) | 2005-07-27 | 2009-08-20 | Dale Bruce A | Well Modeling Associated With Extraction of Hydrocarbons From Subsurface Formations |
US7584086B2 (en) | 2003-09-30 | 2009-09-01 | Exxonmobil Upstream Research Company | Characterizing connectivity in reservoir models using paths of least resistance |
US20090222742A1 (en) | 2008-03-03 | 2009-09-03 | Cisco Technology, Inc. | Context sensitive collaboration environment |
US20090229819A1 (en) | 2008-03-14 | 2009-09-17 | Schlumberger Technlogy Corporation | Visualization techniques for oilfield operations |
US20090240564A1 (en) | 2006-12-12 | 2009-09-24 | Marco Boerries | Open framework for integrating, associating, and interacting with content objects including advertisement and content personalization |
US7596481B2 (en) | 2004-03-16 | 2009-09-29 | M-I L.L.C. | Three-dimensional wellbore analysis and visualization |
US7603265B2 (en) | 2004-04-14 | 2009-10-13 | Institut Francais Du Petrole | Method of constructing a geomechanical model of an underground zone intended to be coupled with a reservoir model |
US7603264B2 (en) | 2004-03-16 | 2009-10-13 | M-I L.L.C. | Three-dimensional wellbore visualization system for drilling and completion data |
US7606666B2 (en) | 2007-01-29 | 2009-10-20 | Schlumberger Technology Corporation | System and method for performing oilfield drilling operations using visualization techniques |
US7616213B2 (en) | 2003-07-28 | 2009-11-10 | Landmark Graphics Corporation, A Halliburton Company | System and method for real-time co-rendering of multiple attributes |
US7627430B2 (en) | 2007-03-13 | 2009-12-01 | Schlumberger Technology Corporation | Method and system for managing information |
US20090295792A1 (en) | 2008-06-03 | 2009-12-03 | Chevron U.S.A. Inc. | Virtual petroleum system |
US20090299709A1 (en) | 2008-06-03 | 2009-12-03 | Chevron U.S.A. Inc. | Virtual petroleum system |
US7630914B2 (en) | 2004-03-17 | 2009-12-08 | Schlumberger Technology Corporation | Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties |
US7630872B2 (en) | 2004-09-16 | 2009-12-08 | Schlumberger Technology Corporation | Methods for visualizing distances between wellbore and formation boundaries |
US20090303233A1 (en) | 2008-06-06 | 2009-12-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods for Imaging a Three-Dimensional Volume of Geometrically Irregular Grid Data Representing a Grid Volume |
US7657407B2 (en) | 2006-08-15 | 2010-02-02 | Landmark Graphics Corporation | Method and system of planning hydrocarbon extraction from a hydrocarbon formation |
US7668700B2 (en) | 2001-09-29 | 2010-02-23 | The Boeing Company | Adaptive distance field constraint for designing a route for a transport element |
US7711532B2 (en) | 2004-06-02 | 2010-05-04 | Paradigm France | Method for building a three dimensional cellular partition of a geological domain |
US7725302B2 (en) | 2003-12-02 | 2010-05-25 | Schlumberger Technology Corporation | Method and system and program storage device for generating an SWPM-MDT workflow in response to a user objective and executing the workflow to produce a reservoir response model |
US7739623B2 (en) * | 2004-04-15 | 2010-06-15 | Edda Technology, Inc. | Interactive 3D data editing via 2D graphical drawing tools |
US7743006B2 (en) | 2004-07-07 | 2010-06-22 | Exxonmobil Upstream Research Co. | Bayesian network triads for geologic and geophysical applications |
US20100172209A1 (en) | 2009-01-07 | 2010-07-08 | Miller Matthew C | Seismic data visualizations |
US20100171740A1 (en) | 2008-03-28 | 2010-07-08 | Schlumberger Technology Corporation | Visualizing region growing in three dimensional voxel volumes |
US20100214870A1 (en) | 2009-02-23 | 2010-08-26 | Randolph Pepper | Method and apparatus for dynamic extraction of extrema-based geometric primitives in 3d voxel volumes |
US20100225642A1 (en) | 2009-03-04 | 2010-09-09 | Murray Donald J | Three-dimensional visualization of images in the earth's subsurface |
US7796468B2 (en) | 2004-02-26 | 2010-09-14 | Saudi Arabian Oil Company | Prediction of shallow drilling hazards using seismic refraction data |
US7814989B2 (en) | 2007-05-21 | 2010-10-19 | Schlumberger Technology Corporation | System and method for performing a drilling operation in an oilfield |
WO2009148681A3 (en) | 2008-06-03 | 2010-11-11 | Chevron U.S.A. Inc. | Virtual petroleum system |
US20100283788A1 (en) | 2007-11-29 | 2010-11-11 | Pascal Rothnemer | Visualization system for a downhole tool |
US20110004447A1 (en) | 2009-07-01 | 2011-01-06 | Schlumberger Technology Corporation | Method to build 3D digital models of porous media using transmitted laser scanning confocal mircoscopy and multi-point statistics |
US7876705B2 (en) | 2003-06-25 | 2011-01-25 | Schlumberger Technology Corporation | Method and apparatus and program storage device for generating a workflow in response to a user objective and generating software modules in response to the workflow and executing the software modules to produce a product |
US20110029293A1 (en) | 2009-08-03 | 2011-02-03 | Susan Petty | Method For Modeling Fracture Network, And Fracture Network Growth During Stimulation In Subsurface Formations |
US20110044532A1 (en) | 2008-04-22 | 2011-02-24 | Holl James E | Functional-Based Knowledge Analysis In A 2D and 3D Visual Environment |
US20110054857A1 (en) | 2009-09-03 | 2011-03-03 | Schlumberger Technology Corporation | Gridless geological modeling |
WO2011031369A1 (en) | 2009-09-14 | 2011-03-17 | Exxonmobil Upstream Research Company | System and method for visualizing corresponding to physical objects |
US20110063292A1 (en) | 2008-05-05 | 2011-03-17 | Holl James E | Systems and Methods For Connectivity Analysis Using Functional Objects |
US7913190B2 (en) | 2005-07-18 | 2011-03-22 | Dassault Systèmes | Method, system and software for visualizing 3D models |
US20110074766A1 (en) | 2009-09-25 | 2011-03-31 | Page Alexander G | Drawing graphical objects in a 3d subsurface environment |
US20110107246A1 (en) | 2009-11-03 | 2011-05-05 | Schlumberger Technology Corporation | Undo/redo operations for multi-object data |
US20110112802A1 (en) | 2009-11-12 | 2011-05-12 | Wilson Brian D | System and Method For Visualizing Data Corresponding To Physical Objects |
US20110115787A1 (en) | 2008-04-11 | 2011-05-19 | Terraspark Geosciences, Llc | Visulation of geologic features using data representations thereof |
US7953587B2 (en) | 2006-06-15 | 2011-05-31 | Schlumberger Technology Corp | Method for designing and optimizing drilling and completion operations in hydrocarbon reservoirs |
WO2009080711A3 (en) | 2007-12-20 | 2011-06-03 | Shell Internationale Research Maatschappij B.V. | Method for producing hydrocarbons through a well or well cluster of which the trajectory is optimized by a trajectory optimisation algorithm |
US20110153300A1 (en) | 2008-11-06 | 2011-06-23 | Holl James E | System and Method For Planning A Drilling Operation |
US20110161133A1 (en) | 2007-09-29 | 2011-06-30 | Schlumberger Technology Corporation | Planning and Performing Drilling Operations |
US8005658B2 (en) | 2007-05-31 | 2011-08-23 | Schlumberger Technology Corporation | Automated field development planning of well and drainage locations |
US8073664B2 (en) | 2008-02-11 | 2011-12-06 | Landmark Graphics Corporation | Systems and methods for improved positioning of pads |
US8145464B2 (en) | 2006-11-02 | 2012-03-27 | Schlumberger Technology Corporation | Oilfield operational system and method |
US8150663B2 (en) | 2007-03-30 | 2012-04-03 | Paradigm Geophysical (Luxembourg) S.A.R.L. | Partitioning algorithm for building a stratigraphic grid |
US8155942B2 (en) | 2008-02-21 | 2012-04-10 | Chevron U.S.A. Inc. | System and method for efficient well placement optimization |
US20120150449A1 (en) | 2009-09-01 | 2012-06-14 | Dobin Mark W | Method of Using Human Physiological Responses As Inputs To Hydrocarbon Management Decisions |
US8301426B2 (en) | 2008-11-17 | 2012-10-30 | Landmark Graphics Corporation | Systems and methods for dynamically developing wellbore plans with a reservoir simulator |
US8345929B2 (en) | 2006-03-21 | 2013-01-01 | Eni S.P.A. | Method for visualizing and comparing images or volumes of data of physical quantities |
US8381815B2 (en) | 2007-04-20 | 2013-02-26 | Shell Oil Company | Production from multiple zones of a tar sands formation |
US20130112407A1 (en) | 2010-08-05 | 2013-05-09 | Yao-Chou Cheng | Obtaining Data From An Earth Model Using Functional Descriptors |
US20130140037A1 (en) | 2010-08-24 | 2013-06-06 | Jose J. Sequeira, JR. | System and method for planning a well path |
US8483852B2 (en) | 2011-10-12 | 2013-07-09 | Schlumberger Technology Corporation | Representing geological objects specified through time in a spatial geology modeling framework |
US8521837B2 (en) | 2011-01-12 | 2013-08-27 | Landmark Graphics Corporation | Three-dimensional earth-formation visualization |
US20130317798A1 (en) | 2011-02-21 | 2013-11-28 | Yao-Chou Cheng | Method and system for field planning |
US20130338987A1 (en) | 2011-01-26 | 2013-12-19 | Yao-Chou Cheng | Method of Reservoir Compartment Analysis Using Topological Structure In 3D Earth Model |
US20130338984A1 (en) | 2011-02-21 | 2013-12-19 | Hendrik Braaksma | Reservoir Connectivity Analysis In A 3D Earth Model |
US8727017B2 (en) | 2010-04-22 | 2014-05-20 | Exxonmobil Upstream Research Company | System and method for obtaining data on an unstructured grid |
US8786604B2 (en) | 2010-12-16 | 2014-07-22 | Landmark Graphics Corporation | Method and system of plotting correlated data |
US20140270393A1 (en) | 2013-03-15 | 2014-09-18 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US20140278117A1 (en) | 2013-03-14 | 2014-09-18 | Mark Dobin | Method for Region Delineation and Optimal Rendering Transform of Seismic Attributes |
WO2014142976A1 (en) | 2013-03-15 | 2014-09-18 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US8849630B2 (en) * | 2008-06-26 | 2014-09-30 | International Business Machines Corporation | Techniques to predict three-dimensional thermal distributions in real-time |
US8892407B2 (en) * | 2008-10-01 | 2014-11-18 | Exxonmobil Upstream Research Company | Robust well trajectory planning |
US20140365192A1 (en) | 2013-06-10 | 2014-12-11 | Yao-Chou Cheng | Interactively Planning A Well Site |
US8931580B2 (en) * | 2010-02-03 | 2015-01-13 | Exxonmobil Upstream Research Company | Method for using dynamic target region for well path/drill center optimization |
US20150094994A1 (en) | 2013-09-30 | 2015-04-02 | Jose J. Sequeira, JR. | Method and System Of Interactive Drill Center and Well Planning Evaluation and Optimization |
US9008972B2 (en) * | 2009-07-06 | 2015-04-14 | Exxonmobil Upstream Research Company | Method for seismic interpretation using seismic texture attributes |
US9070049B2 (en) | 2013-03-15 | 2015-06-30 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US9098647B2 (en) * | 2008-03-10 | 2015-08-04 | Apple Inc. | Dynamic viewing of a three dimensional space |
US9123161B2 (en) * | 2010-08-04 | 2015-09-01 | Exxonmobil Upstream Research Company | System and method for summarizing data on an unstructured grid |
US20160003956A1 (en) | 2013-02-26 | 2016-01-07 | Foster Findlay Associates Limited | Enhanced Visualisation of Geologic Features in 3D Seismic Survey Data |
US20160003008A1 (en) | 2013-02-11 | 2016-01-07 | Uribe Ruben D | Reservoir Segment Evaluation for Well Planning |
-
2013
- 2013-04-09 WO PCT/US2013/035841 patent/WO2013169429A1/en active Application Filing
- 2013-04-09 US US14/385,965 patent/US9595129B2/en active Active
Patent Citations (232)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6643656B2 (en) | 1991-07-31 | 2003-11-04 | Richard Esty Peterson | Computerized information retrieval system |
US5468088A (en) | 1993-12-30 | 1995-11-21 | Cornell Research Foundation, Inc. | Feedback control of groundwater remediation |
US5708764A (en) | 1995-03-24 | 1998-01-13 | International Business Machines Corporation | Hotlinks between an annotation window and graphics window for interactive 3D graphics |
US5671136A (en) | 1995-12-11 | 1997-09-23 | Willhoit, Jr.; Louis E. | Process for seismic imaging measurement and evaluation of three-dimensional subterranean common-impedance objects |
US6128577A (en) | 1996-12-19 | 2000-10-03 | Schlumberger Technology Corporation | Modeling geological structures and properties |
US6697063B1 (en) | 1997-01-03 | 2004-02-24 | Nvidia U.S. Investment Company | Rendering pipeline |
US6219061B1 (en) | 1997-08-01 | 2001-04-17 | Terarecon, Inc. | Method for rendering mini blocks of a volume data set |
US5992519A (en) | 1997-09-29 | 1999-11-30 | Schlumberger Technology Corporation | Real time monitoring and control of downhole reservoirs |
US6236994B1 (en) | 1997-10-21 | 2001-05-22 | Xerox Corporation | Method and apparatus for the integration of information and knowledge |
EP1036341B1 (en) | 1997-12-01 | 2005-02-16 | Schlumberger Limited | Method and apparatus for creating, testing, and modifying geological subsurface models |
US6070125A (en) | 1997-12-01 | 2000-05-30 | Schlumberger Technology Corporation | Apparatus for creating, testing, and modifying geological subsurface models |
US6044328A (en) | 1997-12-01 | 2000-03-28 | Schlumberger Technology Corporation | Method for creating, testing, and modifying geological subsurface models |
US6035255A (en) | 1997-12-01 | 2000-03-07 | Schlumberger Technology Corporation | Article of manufacturing for creating, testing, and modifying geological subsurface models |
CA2312381C (en) | 1997-12-01 | 2009-11-03 | Schlumberger Canada Limited | Method and apparatus for creating, testing, and modifying geological subsurface models |
US6191787B1 (en) | 1998-02-10 | 2001-02-20 | Schlumberger Technology Corporation | Interactively constructing, editing, rendering and manipulating geoscience models |
US7451066B2 (en) | 1998-05-04 | 2008-11-11 | Edwards David A | Near wellbore modeling method and apparatus |
US6765570B1 (en) | 1998-07-21 | 2004-07-20 | Magic Earth, Inc. | System and method for analyzing and imaging three-dimensional volume data sets using a three-dimensional sampling probe |
US20140160128A1 (en) | 1998-07-21 | 2014-06-12 | Landmark Graphics Corporation | System and Method For Analyzing and Imaging Three-Dimensional Volume Data Sets Using a Three-Dimensional Sampling Probe |
US8686996B2 (en) | 1998-07-21 | 2014-04-01 | Landmark Graphics Corporation | System and method for analyzing and imaging three-dimensional volume data sets using a three-dimensional sampling probe |
WO2000014574A1 (en) | 1998-09-04 | 2000-03-16 | Norsk Hydro Asa | Method for visualization and analysis of volume data |
US6388947B1 (en) | 1998-09-14 | 2002-05-14 | Tomoseis, Inc. | Multi-crosswell profile 3D imaging and method |
US6353677B1 (en) | 1998-12-22 | 2002-03-05 | Mitsubishi Electric Research Laboratories, Inc. | Rendering objects having multiple volumes and embedded geometries using minimal depth information |
US6373489B1 (en) | 1999-01-12 | 2002-04-16 | Schlumberger Technology Corporation | Scalable visualization for interactive geometry modeling |
US6549854B1 (en) | 1999-02-12 | 2003-04-15 | Schlumberger Technology Corporation | Uncertainty constrained subsurface modeling |
US6519568B1 (en) | 1999-06-15 | 2003-02-11 | Schlumberger Technology Corporation | System and method for electronic data delivery |
US6549879B1 (en) | 1999-09-21 | 2003-04-15 | Mobil Oil Corporation | Determining optimal well locations from a 3D reservoir model |
US6766254B1 (en) | 1999-10-01 | 2004-07-20 | Schlumberger Technology Corporation | Method for updating an earth model using measurements gathered during borehole construction |
US6826483B1 (en) | 1999-10-13 | 2004-11-30 | The Trustees Of Columbia University In The City Of New York | Petroleum reservoir simulation and characterization system and method |
US6829570B1 (en) | 1999-11-18 | 2004-12-07 | Schlumberger Technology Corporation | Oilfield analysis systems and methods |
EP1230566B1 (en) | 1999-11-18 | 2005-02-02 | Schlumberger Limited | Oilfield analysis systems and methods |
US6834732B2 (en) | 1999-12-08 | 2004-12-28 | Den Norskestats Oljeselskap A.S. | Method of assessing positional uncertainty in drilling a well |
US7478024B2 (en) | 2000-02-22 | 2009-01-13 | Schlumberger Technology Corporation | Integrated reservoir optimization |
US7953585B2 (en) | 2000-02-22 | 2011-05-31 | Schlumberger Technology Corp | Integrated reservoir optimization |
US6980940B1 (en) | 2000-02-22 | 2005-12-27 | Schlumberger Technology Corp. | Intergrated reservoir optimization |
US6490528B2 (en) | 2000-04-17 | 2002-12-03 | Exxonmobil Upstream Research Company | Method for imaging discontinuites in seismic data |
US6516274B2 (en) | 2000-06-30 | 2003-02-04 | Exxonmobil Upstream Research Company | Method for imaging discontinuities in seismic data using dip-steering |
US7970545B2 (en) | 2000-09-08 | 2011-06-28 | Landmark Graphics Corporation | Attaching drilling information to three-dimensional visualizations of earth models |
US7337067B2 (en) | 2000-09-08 | 2008-02-26 | Landmark Graphics Corporation | System and method for attaching drilling information to three-dimensional visualizations of earth models |
US20020177955A1 (en) | 2000-09-28 | 2002-11-28 | Younes Jalali | Completions architecture |
US20040012670A1 (en) | 2000-10-04 | 2004-01-22 | Yun Zhang | Combined colour 2d/3d imaging |
US7098908B2 (en) | 2000-10-30 | 2006-08-29 | Landmark Graphics Corporation | System and method for analyzing and imaging three-dimensional volume data sets |
US7502026B2 (en) | 2000-10-30 | 2009-03-10 | Landmark Graphics Corporation | System and method for analyzing and imaging three-dimensional volume data sets |
US7248258B2 (en) | 2000-10-30 | 2007-07-24 | Landmark Graphics Corporation | System and method for analyzing and imaging three-dimensional volume data sets |
US7006085B1 (en) | 2000-10-30 | 2006-02-28 | Magic Earth, Inc. | System and method for analyzing and imaging three-dimensional volume data sets |
US6940507B2 (en) | 2000-12-18 | 2005-09-06 | Dmitriy G. Repin | Method and apparatus for visualization of 3D voxel data using lit opacity volumes with shading |
US6664961B2 (en) | 2000-12-20 | 2003-12-16 | Rutgers, The State University Of Nj | Resample and composite engine for real-time volume rendering |
US7003439B2 (en) | 2001-01-30 | 2006-02-21 | Schlumberger Technology Corporation | Interactive method for real-time displaying, querying and forecasting drilling event and hazard information |
US6690820B2 (en) | 2001-01-31 | 2004-02-10 | Magic Earth, Inc. | System and method for analyzing and imaging and enhanced three-dimensional volume data set using one or more attributes |
US20050213809A1 (en) | 2001-01-31 | 2005-09-29 | Jack Lees | System and method for analyzing and imaging an enhanced three-dimensional volume data set using one or more attributes |
US6987878B2 (en) | 2001-01-31 | 2006-01-17 | Magic Earth, Inc. | System and method for analyzing and imaging an enhanced three-dimensional volume data set using one or more attributes |
US8055026B2 (en) | 2001-03-07 | 2011-11-08 | Schlumberger Technology Corporation | Image feature extraction |
US7203342B2 (en) | 2001-03-07 | 2007-04-10 | Schlumberger Technology Corporation | Image feature extraction |
US7412363B2 (en) | 2001-04-18 | 2008-08-12 | Landmark Graphics Corporation | Volume body renderer |
US7991600B2 (en) | 2001-04-18 | 2011-08-02 | Landmark Graphics Corporation | Volume body renderer |
US7362329B2 (en) | 2001-05-23 | 2008-04-22 | Vital Images, Inc. | Occlusion culling for object-order volume rendering |
US7136064B2 (en) | 2001-05-23 | 2006-11-14 | Vital Images, Inc. | Occlusion culling for object-order volume rendering |
US6980939B2 (en) | 2001-06-18 | 2005-12-27 | Ford Motor Company | Method and system for optimizing the design of a mechanical system |
US6823266B2 (en) | 2001-06-20 | 2004-11-23 | Exxonmobil Upstream Research Company | Method for performing object-based connectivity analysis in 3-D seismic data volumes |
WO2003003053A1 (en) | 2001-06-20 | 2003-01-09 | Exxonmobil Upstream Research Company | Method for performing object-based connectivity analysis in 3-d seismic data volumes |
US7668700B2 (en) | 2001-09-29 | 2010-02-23 | The Boeing Company | Adaptive distance field constraint for designing a route for a transport element |
US7283941B2 (en) | 2001-11-13 | 2007-10-16 | Swanson Consulting Services, Inc. | Computer system and method for modeling fluid depletion |
US20050119959A1 (en) | 2001-12-12 | 2005-06-02 | Eder Jeffrey S. | Project optimization system |
US6694264B2 (en) | 2001-12-19 | 2004-02-17 | Earth Science Associates, Inc. | Method and system for creating irregular three-dimensional polygonal volume models in a three-dimensional geographic information system |
US6839632B2 (en) | 2001-12-19 | 2005-01-04 | Earth Science Associates, Inc. | Method and system for creating irregular three-dimensional polygonal volume models in a three-dimensional geographic information system |
US6757613B2 (en) | 2001-12-20 | 2004-06-29 | Schlumberger Technology Corporation | Graphical method for designing the trajectory of a well bore |
WO2003072907A1 (en) | 2002-02-28 | 2003-09-04 | Schlumberger Surenco Sa. | Method for desinging a well completion |
US6968909B2 (en) | 2002-03-06 | 2005-11-29 | Schlumberger Technology Corporation | Realtime control of a drilling system using the output from combination of an earth model and a drilling process model |
WO2003078794A1 (en) | 2002-03-20 | 2003-09-25 | Institut Francais Du Petrole | Method of modelling the production of hydrocarbons by a subsurface deposit which are subject to depletion |
US7248256B2 (en) | 2002-05-07 | 2007-07-24 | Hitachi, Ltd. | CAD data evaluation method and evaluation apparatus |
US7050953B2 (en) | 2002-05-22 | 2006-05-23 | Bigwood Technology Incorporated | Dynamical methods for solving large-scale discrete and continuous optimization problems |
US7512543B2 (en) | 2002-05-29 | 2009-03-31 | Schlumberger Technology Corporation | Tools for decision-making in reservoir risk management |
US6772066B2 (en) | 2002-06-17 | 2004-08-03 | Schlumberger Technology Corporation | Interactive rock stability display |
US6912467B2 (en) | 2002-10-08 | 2005-06-28 | Exxonmobil Upstream Research Company | Method for estimation of size and analysis of connectivity of bodies in 2- and 3-dimensional data |
US7330791B2 (en) | 2002-10-18 | 2008-02-12 | Exxonmobil Upstream Research Co. | Method for rapid fault interpretation of fault surfaces generated to fit three-dimensional seismic discontinuity data |
US7181380B2 (en) | 2002-12-20 | 2007-02-20 | Geomechanics International, Inc. | System and process for optimal selection of hydrocarbon well completion type and design |
US7096172B2 (en) | 2003-01-31 | 2006-08-22 | Landmark Graphics Corporation, A Division Of Halliburton Energy Services, Inc. | System and method for automated reservoir targeting |
US7031842B1 (en) | 2003-02-26 | 2006-04-18 | 3Dgeo Development, Inc. | Systems and methods for collaboratively viewing and editing seismic data |
US7576740B2 (en) | 2003-03-06 | 2009-08-18 | Fraunhofer-Institut für Bildgestützte Medizin Mevis | Method of volume visualization |
US20040210395A1 (en) | 2003-03-24 | 2004-10-21 | Exxonmobil Upstream Research Company | Method for multi-region data processing and visualization |
US6993434B2 (en) * | 2003-03-24 | 2006-01-31 | Exxonmobil Upstream Research Company | Method for multi-region data processing and visualization |
US20040207652A1 (en) | 2003-04-16 | 2004-10-21 | Massachusetts Institute Of Technology | Methods and apparatus for visualizing volumetric data using deformable physical object |
US7314588B2 (en) | 2003-06-24 | 2008-01-01 | Advanced Cardiovascular Systems, Inc. | Balloon catheter having a balloon with a thickened wall portion |
US7876705B2 (en) | 2003-06-25 | 2011-01-25 | Schlumberger Technology Corporation | Method and apparatus and program storage device for generating a workflow in response to a user objective and generating software modules in response to the workflow and executing the software modules to produce a product |
US7281213B2 (en) | 2003-07-21 | 2007-10-09 | Landmark Graphics Corporation | System and method for network transmission of graphical data through a distributed application |
US7995057B2 (en) | 2003-07-28 | 2011-08-09 | Landmark Graphics Corporation | System and method for real-time co-rendering of multiple attributes |
US7616213B2 (en) | 2003-07-28 | 2009-11-10 | Landmark Graphics Corporation, A Halliburton Company | System and method for real-time co-rendering of multiple attributes |
US6912468B2 (en) | 2003-08-14 | 2005-06-28 | Westerngeco, L.L.C. | Method and apparatus for contemporaneous utilization of a higher order probe in pre-stack and post-stack seismic domains |
WO2005020044A9 (en) | 2003-08-26 | 2005-05-06 | Univ Columbia | Innervated stochastic controller for real time business decision-making support |
US7584086B2 (en) | 2003-09-30 | 2009-09-01 | Exxonmobil Upstream Research Company | Characterizing connectivity in reservoir models using paths of least resistance |
US7725302B2 (en) | 2003-12-02 | 2010-05-25 | Schlumberger Technology Corporation | Method and system and program storage device for generating an SWPM-MDT workflow in response to a user objective and executing the workflow to produce a reservoir response model |
US20050171700A1 (en) | 2004-01-30 | 2005-08-04 | Chroma Energy, Inc. | Device and system for calculating 3D seismic classification features and process for geoprospecting material seams |
US7796468B2 (en) | 2004-02-26 | 2010-09-14 | Saudi Arabian Oil Company | Prediction of shallow drilling hazards using seismic refraction data |
US7603264B2 (en) | 2004-03-16 | 2009-10-13 | M-I L.L.C. | Three-dimensional wellbore visualization system for drilling and completion data |
US7596481B2 (en) | 2004-03-16 | 2009-09-29 | M-I L.L.C. | Three-dimensional wellbore analysis and visualization |
US7546884B2 (en) | 2004-03-17 | 2009-06-16 | Schlumberger Technology Corporation | Method and apparatus and program storage device adapted for automatic drill string design based on wellbore geometry and trajectory requirements |
US7548873B2 (en) | 2004-03-17 | 2009-06-16 | Schlumberger Technology Corporation | Method system and program storage device for automatically calculating and displaying time and cost data in a well planning system using a Monte Carlo simulation software |
US7539625B2 (en) | 2004-03-17 | 2009-05-26 | Schlumberger Technology Corporation | Method and apparatus and program storage device including an integrated well planning workflow control system with process dependencies |
US7630914B2 (en) | 2004-03-17 | 2009-12-08 | Schlumberger Technology Corporation | Method and apparatus and program storage device adapted for visualization of qualitative and quantitative risk assessment based on technical wellbore design and earth properties |
US7027925B2 (en) | 2004-04-01 | 2006-04-11 | Schlumberger Technology Corporation | Adaptive borehole assembly visualization in a three-dimensional scene |
US7603265B2 (en) | 2004-04-14 | 2009-10-13 | Institut Francais Du Petrole | Method of constructing a geomechanical model of an underground zone intended to be coupled with a reservoir model |
US7739623B2 (en) * | 2004-04-15 | 2010-06-15 | Edda Technology, Inc. | Interactive 3D data editing via 2D graphical drawing tools |
US7711532B2 (en) | 2004-06-02 | 2010-05-04 | Paradigm France | Method for building a three dimensional cellular partition of a geological domain |
US7437358B2 (en) | 2004-06-25 | 2008-10-14 | Apple Inc. | Methods and systems for managing data |
US7743006B2 (en) | 2004-07-07 | 2010-06-22 | Exxonmobil Upstream Research Co. | Bayesian network triads for geologic and geophysical applications |
US7079953B2 (en) | 2004-08-20 | 2006-07-18 | Chevron U.S.A. Inc. | Method for creating facies probability cubes based upon geologic interpretation |
WO2006029121A3 (en) | 2004-09-07 | 2006-06-15 | Landmark Graphics Corp | Method, systems, and computer readable media for optimizing the correlation of well log data using dynamic programing |
US7925483B2 (en) | 2004-09-16 | 2011-04-12 | Schlumberger Technology Corporation | Methods for visualizing distances between wellbore and formation boundaries |
US7630872B2 (en) | 2004-09-16 | 2009-12-08 | Schlumberger Technology Corporation | Methods for visualizing distances between wellbore and formation boundaries |
US7359845B2 (en) | 2004-11-12 | 2008-04-15 | Baker Hughes Incorporated | Method and system for predictive stratigraphy images |
WO2006065915A3 (en) | 2004-12-14 | 2006-08-03 | Schlumberger Services Petrol | Geometrical optimization of multi-well trajectories |
US7684929B2 (en) | 2004-12-14 | 2010-03-23 | Schlumberger Technology Corporation | Geometrical optimization of multi-well trajectories |
US7460957B2 (en) | 2004-12-14 | 2008-12-02 | Schlumberger Technology Corporation | Geometrical optimization of multi-well trajectories |
US7373251B2 (en) | 2004-12-22 | 2008-05-13 | Marathon Oil Company | Method for predicting quantitative values of a rock or fluid property in a reservoir using seismic data |
US7657414B2 (en) | 2005-02-23 | 2010-02-02 | M-I L.L.C. | Three-dimensional wellbore visualization system for hydraulics analyses |
US20060224423A1 (en) | 2005-04-01 | 2006-10-05 | Oracle International Corporation | Transportation planning with parallel optimization |
US20060247903A1 (en) | 2005-04-29 | 2006-11-02 | Gary Schottle | Automated system for identifying optimal re-drilling trajectories |
US20060265508A1 (en) | 2005-05-02 | 2006-11-23 | Angel Franklin J | System for administering a multiplicity of namespaces containing state information and services |
US7565243B2 (en) | 2005-05-26 | 2009-07-21 | Exxonmobil Upstream Research Company | Rapid method for reservoir connectivity analysis using a fast marching method |
US7913190B2 (en) | 2005-07-18 | 2011-03-22 | Dassault Systèmes | Method, system and software for visualizing 3D models |
US20090205819A1 (en) | 2005-07-27 | 2009-08-20 | Dale Bruce A | Well Modeling Associated With Extraction of Hydrocarbons From Subsurface Formations |
US7272973B2 (en) | 2005-10-07 | 2007-09-25 | Halliburton Energy Services, Inc. | Methods and systems for determining reservoir properties of subterranean formations |
WO2007076044A3 (en) | 2005-12-22 | 2007-12-27 | Chevron Usa Inc | Method, system and program storage device for reservoir simulation utilizing heavy oil solution gas drive |
US7366616B2 (en) | 2006-01-13 | 2008-04-29 | Schlumberger Technology Corporation | Computer-based method for while-drilling modeling and visualization of layered subterranean earth formations |
WO2007100703A3 (en) | 2006-02-27 | 2007-11-08 | Schlumberger Ca Ltd | Well planning system and method |
US8812334B2 (en) | 2006-02-27 | 2014-08-19 | Schlumberger Technology Corporation | Well planning system and method |
US8345929B2 (en) | 2006-03-21 | 2013-01-01 | Eni S.P.A. | Method for visualizing and comparing images or volumes of data of physical quantities |
US20070266082A1 (en) | 2006-05-10 | 2007-11-15 | Mcconnell Jane E | Methods, systems, and computer-readable media for displaying high resolution content related to the exploration and production of geologic resources in a thin client computer network |
US7953587B2 (en) | 2006-06-15 | 2011-05-31 | Schlumberger Technology Corp | Method for designing and optimizing drilling and completion operations in hydrocarbon reservoirs |
US7657407B2 (en) | 2006-08-15 | 2010-02-02 | Landmark Graphics Corporation | Method and system of planning hydrocarbon extraction from a hydrocarbon formation |
US20080088621A1 (en) | 2006-10-11 | 2008-04-17 | Jean-Jacques Grimaud | Follower method for three dimensional images |
US20080144903A1 (en) | 2006-10-25 | 2008-06-19 | Bai Wang | Real-time hardware accelerated contour generation based on VOI mask |
US8145464B2 (en) | 2006-11-02 | 2012-03-27 | Schlumberger Technology Corporation | Oilfield operational system and method |
US20090240564A1 (en) | 2006-12-12 | 2009-09-24 | Marco Boerries | Open framework for integrating, associating, and interacting with content objects including advertisement and content personalization |
US20080165185A1 (en) | 2007-01-05 | 2008-07-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and methods for selectively imaging objects in a display of multiple three-dimensional data-objects |
US8638328B2 (en) | 2007-01-05 | 2014-01-28 | Landmark Graphics Corporation | Systems and methods for visualizing multiple volumetric data sets in real time |
US8797319B2 (en) | 2007-01-05 | 2014-08-05 | Landmark Graphics Corporation | Systems and methods for visualizing multiple volumetric data sets in real time |
US20080165186A1 (en) | 2007-01-05 | 2008-07-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and methods for visualizing multiple volumetric data sets in real time |
US7606666B2 (en) | 2007-01-29 | 2009-10-20 | Schlumberger Technology Corporation | System and method for performing oilfield drilling operations using visualization techniques |
US7627430B2 (en) | 2007-03-13 | 2009-12-01 | Schlumberger Technology Corporation | Method and system for managing information |
WO2008121950A1 (en) | 2007-03-29 | 2008-10-09 | Schlumberger Canada Limited | System and method for multiple volume segmentation |
US20080243749A1 (en) | 2007-03-29 | 2008-10-02 | Schlumberger Technology Corporation | System and method for multiple volume segmentation |
US8346695B2 (en) | 2007-03-29 | 2013-01-01 | Schlumberger Technology Corporation | System and method for multiple volume segmentation |
US8150663B2 (en) | 2007-03-30 | 2012-04-03 | Paradigm Geophysical (Luxembourg) S.A.R.L. | Partitioning algorithm for building a stratigraphic grid |
US8381815B2 (en) | 2007-04-20 | 2013-02-26 | Shell Oil Company | Production from multiple zones of a tar sands formation |
US7814989B2 (en) | 2007-05-21 | 2010-10-19 | Schlumberger Technology Corporation | System and method for performing a drilling operation in an oilfield |
US20080294393A1 (en) | 2007-05-24 | 2008-11-27 | Laake Andreas W | Near Surface Layer Modeling |
US8005658B2 (en) | 2007-05-31 | 2011-08-23 | Schlumberger Technology Corporation | Automated field development planning of well and drainage locations |
US20080306803A1 (en) | 2007-06-05 | 2008-12-11 | Schlumberger Technology Corporation | System and method for performing oilfield production operations |
US20090027380A1 (en) | 2007-07-23 | 2009-01-29 | Vivek Rajan | 3-D visualization |
US20090027385A1 (en) | 2007-07-27 | 2009-01-29 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods for Imaging a Volume-of-Interest |
US20090037114A1 (en) | 2007-07-30 | 2009-02-05 | Chengbin Peng | 4d+ prestack seismic data structure, and methods and apparatus for processing 4d+ prestack seismic data |
US7986319B2 (en) | 2007-08-01 | 2011-07-26 | Austin Gemodeling, Inc. | Method and system for dynamic, three-dimensional geological interpretation and modeling |
US20090043507A1 (en) | 2007-08-01 | 2009-02-12 | Austin Geomodeling, Inc. | Method and system for dynamic, three-dimensional geological interpretation and modeling |
US20090040224A1 (en) | 2007-08-06 | 2009-02-12 | The University Of Tokyo | Three-dimensional shape conversion system, three-dimensional shape conversion method, and program for conversion of three-dimensional shape |
US20100191516A1 (en) | 2007-09-07 | 2010-07-29 | Benish Timothy G | Well Performance Modeling In A Collaborative Well Planning Environment |
WO2009032416A1 (en) | 2007-09-07 | 2009-03-12 | Exxonmobill Upstream Research Company | Well performance modeling in a collaborative well planning environment |
WO2009039422A1 (en) | 2007-09-21 | 2009-03-26 | Headwave, Inc. | Seismic data processing and visualization |
US20110161133A1 (en) | 2007-09-29 | 2011-06-30 | Schlumberger Technology Corporation | Planning and Performing Drilling Operations |
US20090089028A1 (en) | 2007-09-29 | 2009-04-02 | Schlumerger Technology Corporation | System and method for performing oilfield operations |
US8103493B2 (en) | 2007-09-29 | 2012-01-24 | Schlumberger Technology Corporation | System and method for performing oilfield operations |
US20090125362A1 (en) | 2007-11-10 | 2009-05-14 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods For Workflow Automation, Adaptation and Integration |
US20090122061A1 (en) | 2007-11-14 | 2009-05-14 | Terraspark Geosciences, L.P. | Seismic data processing |
US20100283788A1 (en) | 2007-11-29 | 2010-11-11 | Pascal Rothnemer | Visualization system for a downhole tool |
US9026417B2 (en) * | 2007-12-13 | 2015-05-05 | Exxonmobil Upstream Research Company | Iterative reservoir surveillance |
US20100206559A1 (en) | 2007-12-13 | 2010-08-19 | Sequeira Jr Jose J | Iterative Reservoir Surveillance |
WO2009075946A1 (en) | 2007-12-13 | 2009-06-18 | Exxonmobil Upstream Research Company | Iterative reservior surveillance |
WO2009079160A1 (en) | 2007-12-14 | 2009-06-25 | Schlumberger Canada Limited | Optimizing drilling operations using petrotechnical data |
US20090157367A1 (en) | 2007-12-14 | 2009-06-18 | Westerngeco, L.L.C. | Optimizing Drilling Operations Using Petrotechnical Data |
WO2009080711A3 (en) | 2007-12-20 | 2011-06-03 | Shell Internationale Research Maatschappij B.V. | Method for producing hydrocarbons through a well or well cluster of which the trajectory is optimized by a trajectory optimisation algorithm |
US20090182541A1 (en) | 2008-01-15 | 2009-07-16 | Schlumberger Technology Corporation | Dynamic reservoir engineering |
US20110060572A1 (en) | 2008-01-15 | 2011-03-10 | Schlumberger Technology Corporation | Dynamic subsurface engineering |
US20090198447A1 (en) | 2008-02-06 | 2009-08-06 | Emmanuel Legendre | System and method for displaying data associated with subsurface reservoirs |
US8364404B2 (en) | 2008-02-06 | 2013-01-29 | Schlumberger Technology Corporation | System and method for displaying data associated with subsurface reservoirs |
US8073664B2 (en) | 2008-02-11 | 2011-12-06 | Landmark Graphics Corporation | Systems and methods for improved positioning of pads |
US8155942B2 (en) | 2008-02-21 | 2012-04-10 | Chevron U.S.A. Inc. | System and method for efficient well placement optimization |
US20090222742A1 (en) | 2008-03-03 | 2009-09-03 | Cisco Technology, Inc. | Context sensitive collaboration environment |
US9098647B2 (en) * | 2008-03-10 | 2015-08-04 | Apple Inc. | Dynamic viewing of a three dimensional space |
US8199166B2 (en) | 2008-03-14 | 2012-06-12 | Schlumberger Technology Corporation | Visualization techniques for oilfield operations |
US20090229819A1 (en) | 2008-03-14 | 2009-09-17 | Schlumberger Technlogy Corporation | Visualization techniques for oilfield operations |
US8803878B2 (en) | 2008-03-28 | 2014-08-12 | Schlumberger Technology Corporation | Visualizing region growing in three dimensional voxel volumes |
US20100171740A1 (en) | 2008-03-28 | 2010-07-08 | Schlumberger Technology Corporation | Visualizing region growing in three dimensional voxel volumes |
US20110115787A1 (en) | 2008-04-11 | 2011-05-19 | Terraspark Geosciences, Llc | Visulation of geologic features using data representations thereof |
US8884964B2 (en) * | 2008-04-22 | 2014-11-11 | Exxonmobil Upstream Research Company | Functional-based knowledge analysis in a 2D and 3D visual environment |
US20110044532A1 (en) | 2008-04-22 | 2011-02-24 | Holl James E | Functional-Based Knowledge Analysis In A 2D and 3D Visual Environment |
US20110063292A1 (en) | 2008-05-05 | 2011-03-17 | Holl James E | Systems and Methods For Connectivity Analysis Using Functional Objects |
WO2009148681A3 (en) | 2008-06-03 | 2010-11-11 | Chevron U.S.A. Inc. | Virtual petroleum system |
US20090295792A1 (en) | 2008-06-03 | 2009-12-03 | Chevron U.S.A. Inc. | Virtual petroleum system |
US20090299709A1 (en) | 2008-06-03 | 2009-12-03 | Chevron U.S.A. Inc. | Virtual petroleum system |
US20090303233A1 (en) | 2008-06-06 | 2009-12-10 | Landmark Graphics Corporation, A Halliburton Company | Systems and Methods for Imaging a Three-Dimensional Volume of Geometrically Irregular Grid Data Representing a Grid Volume |
US8849630B2 (en) * | 2008-06-26 | 2014-09-30 | International Business Machines Corporation | Techniques to predict three-dimensional thermal distributions in real-time |
US8892407B2 (en) * | 2008-10-01 | 2014-11-18 | Exxonmobil Upstream Research Company | Robust well trajectory planning |
US8849640B2 (en) | 2008-11-06 | 2014-09-30 | Exxonmobil Upstream Research Company | System and method for planning a drilling operation |
US20110153300A1 (en) | 2008-11-06 | 2011-06-23 | Holl James E | System and Method For Planning A Drilling Operation |
US8301426B2 (en) | 2008-11-17 | 2012-10-30 | Landmark Graphics Corporation | Systems and methods for dynamically developing wellbore plans with a reservoir simulator |
US20100172209A1 (en) | 2009-01-07 | 2010-07-08 | Miller Matthew C | Seismic data visualizations |
US8094515B2 (en) | 2009-01-07 | 2012-01-10 | Westerngeco L.L.C. | Seismic data visualizations |
US20100214870A1 (en) | 2009-02-23 | 2010-08-26 | Randolph Pepper | Method and apparatus for dynamic extraction of extrema-based geometric primitives in 3d voxel volumes |
US8325179B2 (en) | 2009-03-04 | 2012-12-04 | Landmark Graphics Corporation | Three-dimensional visualization of images in the earth's subsurface |
US8698798B2 (en) | 2009-03-04 | 2014-04-15 | Landmark Graphics Corporation | Visualization of images on user-defined folded structures in a three-dimensional subsurface environment |
US20100225642A1 (en) | 2009-03-04 | 2010-09-09 | Murray Donald J | Three-dimensional visualization of images in the earth's subsurface |
US20110004447A1 (en) | 2009-07-01 | 2011-01-06 | Schlumberger Technology Corporation | Method to build 3D digital models of porous media using transmitted laser scanning confocal mircoscopy and multi-point statistics |
US9008972B2 (en) * | 2009-07-06 | 2015-04-14 | Exxonmobil Upstream Research Company | Method for seismic interpretation using seismic texture attributes |
US20110029293A1 (en) | 2009-08-03 | 2011-02-03 | Susan Petty | Method For Modeling Fracture Network, And Fracture Network Growth During Stimulation In Subsurface Formations |
US20120150449A1 (en) | 2009-09-01 | 2012-06-14 | Dobin Mark W | Method of Using Human Physiological Responses As Inputs To Hydrocarbon Management Decisions |
US20110054857A1 (en) | 2009-09-03 | 2011-03-03 | Schlumberger Technology Corporation | Gridless geological modeling |
US20120166166A1 (en) | 2009-09-14 | 2012-06-28 | Czernuszenko Marek K | System and Method Visualizing Data Corresponding to Physical Objects |
WO2011031369A1 (en) | 2009-09-14 | 2011-03-17 | Exxonmobil Upstream Research Company | System and method for visualizing corresponding to physical objects |
US20110074766A1 (en) | 2009-09-25 | 2011-03-31 | Page Alexander G | Drawing graphical objects in a 3d subsurface environment |
WO2011038221A3 (en) | 2009-09-25 | 2011-08-18 | Landmark Graphics Corporation | Drawing graphical objects in a 3d subsurface environment |
US20110107246A1 (en) | 2009-11-03 | 2011-05-05 | Schlumberger Technology Corporation | Undo/redo operations for multi-object data |
US20110112802A1 (en) | 2009-11-12 | 2011-05-12 | Wilson Brian D | System and Method For Visualizing Data Corresponding To Physical Objects |
US8931580B2 (en) * | 2010-02-03 | 2015-01-13 | Exxonmobil Upstream Research Company | Method for using dynamic target region for well path/drill center optimization |
US8727017B2 (en) | 2010-04-22 | 2014-05-20 | Exxonmobil Upstream Research Company | System and method for obtaining data on an unstructured grid |
US9123161B2 (en) * | 2010-08-04 | 2015-09-01 | Exxonmobil Upstream Research Company | System and method for summarizing data on an unstructured grid |
US20130112407A1 (en) | 2010-08-05 | 2013-05-09 | Yao-Chou Cheng | Obtaining Data From An Earth Model Using Functional Descriptors |
US20130140037A1 (en) | 2010-08-24 | 2013-06-06 | Jose J. Sequeira, JR. | System and method for planning a well path |
US8786604B2 (en) | 2010-12-16 | 2014-07-22 | Landmark Graphics Corporation | Method and system of plotting correlated data |
US20140245211A1 (en) | 2010-12-16 | 2014-08-28 | Landmark Graphics Corporation | Method and system of plotting correlated data |
US8521837B2 (en) | 2011-01-12 | 2013-08-27 | Landmark Graphics Corporation | Three-dimensional earth-formation visualization |
US20130338987A1 (en) | 2011-01-26 | 2013-12-19 | Yao-Chou Cheng | Method of Reservoir Compartment Analysis Using Topological Structure In 3D Earth Model |
US20130317798A1 (en) | 2011-02-21 | 2013-11-28 | Yao-Chou Cheng | Method and system for field planning |
US20130338984A1 (en) | 2011-02-21 | 2013-12-19 | Hendrik Braaksma | Reservoir Connectivity Analysis In A 3D Earth Model |
US20130298065A1 (en) | 2011-10-12 | 2013-11-07 | Schlumberger Technology Corporation | Representing Geological Objects Specified Through Time In A Spatial Geology Modeling Framework |
US8483852B2 (en) | 2011-10-12 | 2013-07-09 | Schlumberger Technology Corporation | Representing geological objects specified through time in a spatial geology modeling framework |
US20160003008A1 (en) | 2013-02-11 | 2016-01-07 | Uribe Ruben D | Reservoir Segment Evaluation for Well Planning |
US20160003956A1 (en) | 2013-02-26 | 2016-01-07 | Foster Findlay Associates Limited | Enhanced Visualisation of Geologic Features in 3D Seismic Survey Data |
US20140278117A1 (en) | 2013-03-14 | 2014-09-18 | Mark Dobin | Method for Region Delineation and Optimal Rendering Transform of Seismic Attributes |
WO2014142976A1 (en) | 2013-03-15 | 2014-09-18 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US20140270393A1 (en) | 2013-03-15 | 2014-09-18 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US9070049B2 (en) | 2013-03-15 | 2015-06-30 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
US20140365192A1 (en) | 2013-06-10 | 2014-12-11 | Yao-Chou Cheng | Interactively Planning A Well Site |
US20150094994A1 (en) | 2013-09-30 | 2015-04-02 | Jose J. Sequeira, JR. | Method and System Of Interactive Drill Center and Well Planning Evaluation and Optimization |
Non-Patent Citations (14)
Title |
---|
Bharat, K, et al. (2001), "Who Links to Whom: Mining Linkage Between Web sites", Proceedings of the 2001 IEE Int'l Conf on Data Mining, pp. 51-58. |
Cabral, B., et al (1995), "Accelerated Volume Rendering and Tomographic Reconstruction Using Texture Mapping Hardware", IEEE in Symposium on Volume Visualization, pp. 91-98, 131. |
Crawfis, R., et al. (1992), "Direct Volume Visualization of Three-Dimensional Vector Fields", Proceedings of the 1992 Workshop on Volume Visualization, pp. 55-60. |
Drebin, R., et al. (1988), "Volume Rendering",Computer Graphics, the Proceedings of 1988 SIGGRAPH Conference, vol. 22, No. 4, pp. 65-74. |
Holden, P., (1994), "VoxelGeo 1.1.1 Productivity Tool for the Geosciences", Vital Images, Inc., 92 pages. |
Lorensen, W., et al., (1987), "Marching Cubes: A High-Resolution 3D Surface Construction Algorithm", Computer Graphics, The Proceeding of 1987 SIGGRAPH Conference, vol. 21, No. 4, pp. 163-169. |
McCann, P., et al. (2003), "Horizontal Well Path Planning and Correction Using Optimization Techniques," J. of Energy Resources Tech. 123, pp. 187-193. |
Mugerin. C., et al. (2002), "Well Design Optimization: Implementation in GOCAD," 22nd Gocade Meeting, Jun. 2002. |
Patel, Daniel, et al. "Knowledge-assisted visualization of seismic data." Computers & Graphics 33.5 (2009): 585-596. * |
Rainaud, J.F., et al. (2004), "WOG-Well Optimization by Geosteering: A Pilot Software for Cooperative Modeling on Internet," Oil & Gas Science & Tech. 59(4), pp. 427-445. |
Reed, P., et al. (2003) "Simplifying Multiobjective Optimization Using Genetic Algorithms," Proceedings of World Water and Environmental Resources Congress, 10 pgs. |
Resmi et al, A Semi-Automatic Method for Segmentation and 3D modeling of glioma tumors from brain MRI, J. Biomedical Science and Engineering, 2012, 5, 378-383. * |
Rohlf, J., et al., (2011), "IRIS Performer: A High Performance Multiprocessing Toolkit for Real-Time 3D Graphics", Silicon Graphics Computer Systems, 14 pages. |
Udoh, E., et al. (2003), "Applicatons of Strategic Optimization Techniques to Development and Management of Oil and Gas Resources", 27th SPE Meeting, 16 pgs. |
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US10614618B2 (en) | 2014-11-05 | 2020-04-07 | Shell Oil Company | Method for multi-dimensional geophysical data visualization |
US11346215B2 (en) | 2018-01-23 | 2022-05-31 | Baker Hughes Holdings Llc | Methods of evaluating drilling performance, methods of improving drilling performance, and related systems for drilling using such methods |
US10808517B2 (en) | 2018-12-17 | 2020-10-20 | Baker Hughes Holdings Llc | Earth-boring systems and methods for controlling earth-boring systems |
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